Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
3587
Single Precision Score
3541
Half Precision Score
10061
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Pulse986 |
| Upload Date | September 30 2025 06:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2473
459.9 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (Q)
|
100% |
6730
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5597
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4990
5.82 IPS |
|
|
Pose Estimation (Q)
|
98% |
16123
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (Q)
|
88% |
7378
591.5 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
5386
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
17105
203.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4709
36.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
17029
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11787
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11325
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39039
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2370
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7766
287.6 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5655
97.4 IPS |
