ASUS WS X299 PRO/SE Trident Z Neo System manufacturer System Product Name
Geekbench AI Score
3938
Single Precision Score
1073
Half Precision Score
4401
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 19 2025 04:33 PM |
| Views | 4 |
| 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 | CPU |
| Device | Intel Core i9-7960X |
| 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% |
3210
596.9 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
4502
840.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
2123
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11410
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7225
8.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
16913
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
58% |
3711
405.4 IPS |
|
|
Face Detection (SP)
|
100% |
7722
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
7156
85.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10876
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1245
9.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
10681
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20928
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13762
17.7 IPS |
|
|
Style Transfer (Q)
|
87% |
19465
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2653
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2180
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.7 IPS |
|
|
Text Classification (Q)
|
97% |
727
973.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1930
37.3 IPS |
