X370 Professional Gaming
Geekbench AI Score
1156
Single Precision Score
624
Half Precision Score
1282
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | December 22 2024 06:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | X370 Professional Gaming |
| Motherboard | ASRock X370 Professional Gaming |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
96% |
1186
221.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1609
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2210
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
58% |
727
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
96% |
2448
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2037
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
2671
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4973
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4516
5.81 IPS |
|
|
Style Transfer (Q)
|
87% |
5725
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.9 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.5 IPS |
|
|
Text Classification (Q)
|
97% |
248
331.9 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
68% |
920
17.8 IPS |
