Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
4752
Single Precision Score
4815
Half Precision Score
6845
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | January 03 2025 05:45 AM |
| Views | 3 |
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 | AMD Ryzen 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% |
3357
624.3 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.2 IPS |
|
|
Image Classification (Q)
|
100% |
4750
883.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4931
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6246
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6345
7.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
12826
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (Q)
|
87% |
4865
390.2 IPS |
|
|
Face Detection (SP)
|
100% |
10601
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
10542
125.3 IPS |
|
|
Face Detection (Q)
|
97% |
14306
170.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
13927
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18898
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36454
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7337
271.8 IPS |
|
|
Text Classification (SP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (Q)
|
91% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (Q)
|
90% |
2529
43.9 IPS |
