Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2344
Single Precision Score
1164
Half Precision Score
5047
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| 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% |
2389
444.4 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
99% |
7160
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5014
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3379
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
11575
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
4270
343.2 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
6555
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4285
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1605
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5877
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7807
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7194
9.25 IPS |
|
|
Style Transfer (Q)
|
98% |
12992
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.6 IPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2420
48.6 IPS |
