Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
4418
Single Precision Score
4418
Half Precision Score
6787
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (HP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (Q)
|
100% |
4159
773.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4881
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4881
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4867
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
10315
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (Q)
|
87% |
4560
365.7 IPS |
|
|
Face Detection (SP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
6478
77.0 IPS |
|
|
Face Detection (Q)
|
97% |
12878
153.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6592
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6598
50.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11917
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14979
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14962
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30181
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3181
117.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6304
233.5 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (Q)
|
91% |
1569
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4786
82.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4746
81.7 IPS |
