Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
5665
Single Precision Score
5695
Half Precision Score
15679
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3541
658.5 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (Q)
|
100% |
10045
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3894
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10737
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6453
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
24909
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
3426
271.8 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
88% |
10279
824.0 IPS |
|
|
Face Detection (SP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
25849
307.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8428
64.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
26152
203.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17860
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18185
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
65783
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13567
502.5 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5851
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6182
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6311
108.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9214
158.7 IPS |
