X370 Professional Gaming
Geekbench AI Score
1802
Single Precision Score
882
Half Precision Score
1984
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | December 23 2024 03:24 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| 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 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
96% |
1842
343.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
4039
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
58% |
1256
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4084
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1365
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4376
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7570
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
6066
7.80 IPS |
|
|
Style Transfer (Q)
|
87% |
7969
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1308
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.7 IPS |
|
|
Text Classification (Q)
|
97% |
323
433.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1482
28.6 IPS |
