System manufacturer System Product Name
Geekbench AI Score
11097
Single Precision Score
12801
Half Precision Score
8984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 17 2025 02:50 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5044
938.1 IPS |
|
|
Image Classification (HP)
|
100% |
5315
988.4 IPS |
|
|
Image Classification (Q)
|
100% |
4006
744.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5869
95.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5918
95.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5228
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
72414
84.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
110959
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
62447
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
4960
393.4 IPS |
|
|
Object Detection (HP)
|
100% |
4754
377.1 IPS |
|
|
Object Detection (Q)
|
88% |
4534
363.5 IPS |
|
|
Face Detection (SP)
|
100% |
13708
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
14256
169.4 IPS |
|
|
Face Detection (Q)
|
97% |
12774
152.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28766
221.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32521
251.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23439
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
116617
149.9 IPS |
|
|
Style Transfer (HP)
|
100% |
172647
221.9 IPS |
|
|
Style Transfer (Q)
|
98% |
98132
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19341
714.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25962
958.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14625
541.5 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1334
25.0 IPS |
