Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5631
Single Precision Score
5534
Half Precision Score
7558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | September 24 2025 11:57 AM |
| Views | 9 |
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% |
3413
634.6 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.6 IPS |
|
|
Image Classification (Q)
|
100% |
4978
925.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6147
99.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6669
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6683
7.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
13551
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.2 IPS |
|
|
Object Detection (HP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (Q)
|
87% |
5167
414.4 IPS |
|
|
Face Detection (SP)
|
100% |
10653
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
10514
124.9 IPS |
|
|
Face Detection (Q)
|
97% |
15387
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8614
66.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14610
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19444
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19563
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38184
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7586
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3996
68.8 IPS |
