Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3301
Single Precision Score
1643
Half Precision Score
6383
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 21 2025 09:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| 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 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% |
2953
549.2 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
99% |
7278
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3439
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
21080
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2843
225.5 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
7442
598.1 IPS |
|
|
Face Detection (SP)
|
100% |
5247
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
10001
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6863
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14088
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11639
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23694
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3210
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2948
59.2 IPS |
