Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
2080
Single Precision Score
552
Half Precision Score
2534
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | August 17 2024 07:45 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1126
209.5 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
97% |
1955
364.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
1960
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5309
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3917
4.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
7781
9.19 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (Q)
|
86% |
1099
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
1963
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
96% |
2895
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4862
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
705
5.43 IPS |
|
|
Depth Estimation (Q)
|
76% |
5153
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11775
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9542
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
12095
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1646
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.6 IPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1434
32.0 IPS |
