Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
1766
Single Precision Score
841
Half Precision Score
2107
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 03:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | AMD Ryzen Balanced |
| 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% |
1197
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
1255
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
3649
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
58% |
1204
131.6 IPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
3975
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3712
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
4016
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5647
7.26 IPS |
|
|
Style Transfer (Q)
|
87% |
7755
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1394
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (Q)
|
97% |
712
954.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1526
29.5 IPS |
