Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
2854
Single Precision Score
2795
Half Precision Score
3198
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Urakaze39 |
| Upload Date | October 19 2024 09:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.9 IPS |
|
|
Image Classification (Q)
|
100% |
2084
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5084
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
6391
7.50 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (Q)
|
87% |
2590
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (Q)
|
97% |
8470
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6051
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5940
45.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
7104
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14803
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14409
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17672
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2753
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3406
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.8 IPS |
|
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
|
Text Classification (Q)
|
91% |
207
278.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1671
28.8 IPS |
