Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
2720
Single Precision Score
1326
Half Precision Score
5805
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
99% |
6954
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2942
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4202
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
17428
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
6116
491.5 IPS |
|
|
Face Detection (SP)
|
100% |
4610
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
1452
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
9027
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6635
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10438
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8861
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22292
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2776
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.8 IPS |
|
|
Text Classification (Q)
|
97% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2981
59.9 IPS |
