Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3724
Single Precision Score
1658
Half Precision Score
6592
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| 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 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2858
531.5 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (Q)
|
99% |
7150
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3382
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4666
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
20726
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (Q)
|
86% |
7135
573.4 IPS |
|
|
Face Detection (SP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
9353
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7685
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2555
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7107
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13733
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11557
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27428
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3746
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2377
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3375
67.8 IPS |
