Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
4543
Single Precision Score
4579
Half Precision Score
6846
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 04:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2795
519.7 IPS |
|
|
Image Classification (HP)
|
100% |
2785
518.0 IPS |
|
|
Image Classification (Q)
|
100% |
4383
815.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3411
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3496
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5201
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5125
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5192
6.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
10809
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (Q)
|
87% |
4766
382.2 IPS |
|
|
Face Detection (SP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
7010
83.3 IPS |
|
|
Face Detection (Q)
|
97% |
12662
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6710
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6766
52.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
12331
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15344
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15447
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31012
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3184
117.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6422
237.9 IPS |
|
|
Text Classification (SP)
|
100% |
2732
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (Q)
|
91% |
1363
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4544
78.3 IPS |
