Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
4431
Single Precision Score
4463
Half Precision Score
7240
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | July 26 2025 12:21 PM |
| Views | 6 |
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 | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2638
490.6 IPS |
|
|
Image Classification (HP)
|
100% |
2701
502.4 IPS |
|
|
Image Classification (Q)
|
100% |
4710
875.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5670
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4745
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4702
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
18552
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
3733
296.1 IPS |
|
|
Object Detection (Q)
|
87% |
6272
503.0 IPS |
|
|
Face Detection (SP)
|
100% |
8032
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
8110
96.4 IPS |
|
|
Face Detection (Q)
|
97% |
20908
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9740
75.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
9743
75.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
18658
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23006
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22538
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55111
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11124
412.1 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
91% |
315
423.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (Q)
|
90% |
1692
29.4 IPS |
