Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2185
Single Precision Score
1182
Half Precision Score
4063
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TheRaven1994 |
| Upload Date | October 09 2024 01:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
99% |
4004
746.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3052
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
16284
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
88% |
1610
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
4929
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3880
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1678
12.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4774
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8210
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7701
9.90 IPS |
|
|
Style Transfer (Q)
|
98% |
17870
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2394
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
599
798.9 IPS |
|
|
Text Classification (Q)
|
97% |
1697
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2245
50.1 IPS |
