Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3226
Single Precision Score
746
Half Precision Score
3871
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | January 04 2025 05:09 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% |
1847
343.6 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
97% |
3409
636.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
2415
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5222
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
87% |
10880
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
86% |
1991
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
96% |
5012
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6474
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
6753
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13228
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10231
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15269
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2839
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
627
836.3 IPS |
|
|
Text Classification (Q)
|
97% |
1276
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2267
50.6 IPS |
