Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
21954
Single Precision Score
33220
Half Precision Score
13415
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | raylee930 |
| Upload Date | August 18 2024 09:23 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8733
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
11733
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
5660
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14203
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19311
313.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10755
174.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
136458
159.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
381318
444.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
107949
126.4 IPS |
|
|
Object Detection (SP)
|
100% |
11013
873.6 IPS |
|
|
Object Detection (HP)
|
100% |
15593
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
7552
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
27005
320.9 IPS |
|
|
Face Detection (HP)
|
100% |
37940
450.8 IPS |
|
|
Face Detection (Q)
|
97% |
18272
217.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55765
429.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98653
760.1 IPS |
|
|
Depth Estimation (Q)
|
69% |
32186
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
250248
321.7 IPS |
|
|
Style Transfer (HP)
|
100% |
589482
757.8 IPS |
|
|
Style Transfer (Q)
|
98% |
182895
235.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35881
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44226
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19889
736.4 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3286
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1270
28.3 IPS |
