Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
1893
Single Precision Score
2134
Half Precision Score
1561
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | September 04 2025 10:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
6723
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
11016
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6018
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
87% |
705
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
2116
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3860
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4632
35.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3404
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11442
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16014
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10063
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2166
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
725
968.1 IPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
525
703.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
70% |
626
11.7 IPS |
