Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
3830
Single Precision Score
1774
Half Precision Score
7933
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2714
504.7 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
99% |
7656
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
21261
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
7752
623.0 IPS |
|
|
Face Detection (SP)
|
100% |
7389
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
9898
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7330
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2699
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16889
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15203
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11352
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26857
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4779
96.0 IPS |
