Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
698
Single Precision Score
393
Half Precision Score
639
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | goofball |
| Upload Date | July 05 2025 03:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 1200 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | MSI X370 SLI PLUS (MS-7A33) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
96% |
496
92.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
401
6.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
890
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
58% |
345
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
507
6.03 IPS |
|
|
Face Detection (Q)
|
96% |
1328
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
621
4.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
1257
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2686
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
2296
2.95 IPS |
|
|
Style Transfer (Q)
|
87% |
2327
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.5 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.6 IPS |
|
|
Text Classification (Q)
|
97% |
188
251.5 IPS |
|
|
Machine Translation (SP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
68% |
612
11.8 IPS |
