Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3594
Single Precision Score
1472
Half Precision Score
4744
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | January 04 2025 05:24 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| 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% |
2755
512.3 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
96% |
4364
814.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2460
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5102
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
10665
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
58% |
3206
350.3 IPS |
|
|
Face Detection (SP)
|
100% |
7785
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (Q)
|
96% |
7800
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2174
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11385
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13323
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10352
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
15703
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2841
105.3 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (Q)
|
97% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2998
57.9 IPS |
