ASUS WS X299 PRO/SE Trident Z Neo System manufacturer System Product Name
Geekbench AI Score
11342
Single Precision Score
12960
Half Precision Score
8867
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 19 2025 04:39 PM |
| Views | 3 |
| Notes | Intel Core i9 7960X Trident Z Neo DDR4-3200 CL16-18-18-38 1.35V 256GB (8x32GB) F4-3200C16Q2-256GTZN ASUS WS X299 PRO/SE |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4981
926.3 IPS |
|
|
Image Classification (HP)
|
100% |
5189
964.9 IPS |
|
|
Image Classification (Q)
|
100% |
4070
756.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5821
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5912
95.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5157
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
73189
85.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
112663
131.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
61674
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
4741
376.1 IPS |
|
|
Object Detection (Q)
|
88% |
4401
352.8 IPS |
|
|
Face Detection (SP)
|
100% |
15045
178.8 IPS |
|
|
Face Detection (HP)
|
100% |
14998
178.2 IPS |
|
|
Face Detection (Q)
|
97% |
12600
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28776
221.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33167
256.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22939
183.4 IPS |
|
|
Style Transfer (SP)
|
100% |
117689
151.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168387
216.5 IPS |
|
|
Style Transfer (Q)
|
98% |
97935
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19423
717.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24240
895.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13159
487.3 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |
