Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5667
Single Precision Score
5718
Half Precision Score
7596
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | May 27 2025 06:52 AM |
| Views | 16 |
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% |
3470
645.3 IPS |
|
|
Image Classification (HP)
|
100% |
3524
655.4 IPS |
|
|
Image Classification (Q)
|
100% |
4981
926.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5761
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
13598
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.3 IPS |
|
|
Object Detection (Q)
|
87% |
5079
407.4 IPS |
|
|
Face Detection (SP)
|
100% |
11291
134.2 IPS |
|
|
Face Detection (HP)
|
100% |
11228
133.4 IPS |
|
|
Face Detection (Q)
|
97% |
15033
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8895
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8978
69.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
14883
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20322
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20304
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38308
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7645
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (Q)
|
91% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4459
76.8 IPS |
