Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2427
Single Precision Score
747
Half Precision Score
3592
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 12:09 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-E (MS-7E28) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
99% |
4481
835.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
2210
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
13330
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
88% |
1625
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
97% |
3493
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4146
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
6557
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8406
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7966
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14012
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
487
651.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2943
65.6 IPS |
