Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5695
Single Precision Score
5680
Half Precision Score
7623
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | September 24 2025 12:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3454
642.4 IPS |
|
|
Image Classification (HP)
|
100% |
3440
639.7 IPS |
|
|
Image Classification (Q)
|
100% |
4971
924.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6145
99.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6761
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6737
7.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
13496
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
3394
269.3 IPS |
|
|
Object Detection (HP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (Q)
|
87% |
5145
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
10847
128.9 IPS |
|
|
Face Detection (HP)
|
100% |
10694
127.1 IPS |
|
|
Face Detection (Q)
|
97% |
15345
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8679
66.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
14555
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19698
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19715
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38346
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7664
283.9 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4852
83.6 IPS |
