Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
1865
Single Precision Score
2096
Half Precision Score
1516
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Pulse986 |
| Upload Date | September 30 2025 06:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
633
117.7 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
100% |
620
115.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
953
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
10442
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5519
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
87% |
636
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1843
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3617
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4387
33.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3135
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10868
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16055
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9479
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2017
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.2 IPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
475
636.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
592
11.1 IPS |
