Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
1388
Single Precision Score
731
Half Precision Score
1482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | February 27 2025 10:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
900
167.5 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
96% |
1277
238.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2104
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1848
2.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
2594
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
850
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
96% |
2928
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
2998
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5275
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4652
5.98 IPS |
|
|
Style Transfer (Q)
|
87% |
5795
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1100
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.4 IPS |
|
|
Text Classification (HP)
|
100% |
359
478.6 IPS |
|
|
Text Classification (Q)
|
97% |
294
393.7 IPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1077
20.8 IPS |
