Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
5598
Single Precision Score
5667
Half Precision Score
7240
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | August 16 2024 02:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3756
698.6 IPS |
|
|
Image Classification (HP)
|
100% |
4074
757.5 IPS |
|
|
Image Classification (Q)
|
100% |
5659
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6149
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11709
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11519
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
23521
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
4189
332.2 IPS |
|
|
Object Detection (HP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (Q)
|
87% |
6450
517.3 IPS |
|
|
Face Detection (SP)
|
100% |
9949
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
9924
117.9 IPS |
|
|
Face Detection (Q)
|
97% |
19680
234.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11013
84.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
10773
83.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
19060
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30755
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31747
40.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54409
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5476
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5190
191.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10012
370.9 IPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
269
361.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (Q)
|
90% |
1364
23.7 IPS |
