Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3722
Single Precision Score
1657
Half Precision Score
6545
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:21 AM |
| Views | 5 |
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% |
2949
548.4 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
99% |
7097
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3349
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4891
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
20859
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2801
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
86% |
7171
576.3 IPS |
|
|
Face Detection (SP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
9436
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7485
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7058
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14085
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11445
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27076
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3658
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3330
66.9 IPS |
