System manufacturer System Product Name
Geekbench AI Score
11661
Single Precision Score
13189
Half Precision Score
9091
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | March 18 2025 05:17 PM |
| Views | 5 |
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% |
5132
954.5 IPS |
|
|
Image Classification (HP)
|
100% |
5152
958.2 IPS |
|
|
Image Classification (Q)
|
100% |
4026
748.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6039
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6193
100.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5370
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
78426
91.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
114982
134.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
66310
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
5122
406.3 IPS |
|
|
Object Detection (HP)
|
100% |
4797
380.5 IPS |
|
|
Object Detection (Q)
|
88% |
4541
364.0 IPS |
|
|
Face Detection (SP)
|
100% |
15343
182.3 IPS |
|
|
Face Detection (HP)
|
100% |
15808
187.8 IPS |
|
|
Face Detection (Q)
|
97% |
13355
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30747
236.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33660
260.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23271
186.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123899
159.3 IPS |
|
|
Style Transfer (HP)
|
100% |
171776
220.8 IPS |
|
|
Style Transfer (Q)
|
98% |
100662
129.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18887
697.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26317
971.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13706
507.5 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (Q)
|
97% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1456
27.3 IPS |
