Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
2962
Single Precision Score
743
Half Precision Score
3178
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | raylee930 |
| Upload Date | August 18 2024 09:27 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
97% |
3630
677.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2032
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4734
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3941
4.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
11388
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1608
129.2 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (Q)
|
96% |
3445
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6096
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
6230
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10555
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8785
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14631
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2314
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3354
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.6 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
60% |
1789
39.9 IPS |
