Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
4381
Single Precision Score
1016
Half Precision Score
4130
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bagaget |
| Upload Date | August 24 2024 05:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| 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 Ultimate HighPower 11-v4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2594
482.5 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
97% |
4334
808.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
2410
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7885
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6413
7.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
14388
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
3004
238.3 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
86% |
2622
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (Q)
|
96% |
5267
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1197
9.22 IPS |
|
|
Depth Estimation (Q)
|
76% |
7909
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18896
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15698
20.2 IPS |
|
|
Style Transfer (Q)
|
87% |
20353
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3338
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3746
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
461
617.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2503
55.8 IPS |
