Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
1327
Single Precision Score
699
Half Precision Score
1395
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | January 20 2025 09:58 PM |
| Views | 13 |
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 | Balanced |
| 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% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
1166
217.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
905
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
2346
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
907
71.9 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
58% |
811
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.38 IPS |
|
|
Face Detection (Q)
|
96% |
2823
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1080
8.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
2799
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5015
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4576
5.88 IPS |
|
|
Style Transfer (Q)
|
87% |
5553
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1057
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.8 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.6 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.3 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1076
20.8 IPS |
