Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2867
Single Precision Score
1457
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | February 13 2025 04:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
7324
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3189
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3496
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
18088
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (Q)
|
86% |
6989
561.7 IPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
10074
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2050
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7193
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9745
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11462
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22077
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3045
61.2 IPS |
