Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
4469
Single Precision Score
4611
Half Precision Score
6839
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | July 26 2025 12:18 PM |
| Views | 9 |
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% |
3340
621.1 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.2 IPS |
|
|
Image Classification (Q)
|
100% |
5342
993.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2737
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6032
98.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5934
6.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
14264
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
2996
237.6 IPS |
|
|
Object Detection (Q)
|
87% |
5443
436.6 IPS |
|
|
Face Detection (SP)
|
100% |
9009
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
8748
103.9 IPS |
|
|
Face Detection (Q)
|
97% |
19841
236.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9481
73.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
10188
78.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
18857
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23476
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24705
31.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53826
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4816
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10256
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
91% |
302
405.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1436
25.0 IPS |
