Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
2972
Single Precision Score
1500
Half Precision Score
5640
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | johanmeng |
| Upload Date | March 27 2025 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Gebalanceerd |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (Q)
|
99% |
5810
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2356
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
18806
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (Q)
|
86% |
5203
418.1 IPS |
|
|
Face Detection (SP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
1797
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9694
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5427
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2256
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14309
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10547
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9346
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24599
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
510
683.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3829
76.9 IPS |
