Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5548
Single Precision Score
5580
Half Precision Score
7510
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | January 04 2025 05:27 AM |
| Views | 14 |
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% |
3377
628.0 IPS |
|
|
Image Classification (HP)
|
100% |
3448
641.2 IPS |
|
|
Image Classification (Q)
|
100% |
4947
920.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4074
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4098
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5716
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
13412
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
3331
264.3 IPS |
|
|
Object Detection (HP)
|
100% |
3334
264.4 IPS |
|
|
Object Detection (Q)
|
87% |
4926
395.1 IPS |
|
|
Face Detection (SP)
|
100% |
10821
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
10968
130.3 IPS |
|
|
Face Detection (Q)
|
97% |
14914
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8743
67.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14538
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19303
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19472
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37463
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7646
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4226
72.8 IPS |
