Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
6788
Single Precision Score
6781
Half Precision Score
8806
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PhillyBass |
| Upload Date | December 04 2025 02:00 AM |
| Views | 2 |
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% |
3669
682.3 IPS |
|
|
Image Classification (HP)
|
100% |
3916
728.2 IPS |
|
|
Image Classification (Q)
|
100% |
6140
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5491
89.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5578
90.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10162
165.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11387
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11356
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
24682
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
4477
355.1 IPS |
|
|
Object Detection (Q)
|
87% |
6910
554.2 IPS |
|
|
Face Detection (SP)
|
100% |
9826
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
10052
119.4 IPS |
|
|
Face Detection (Q)
|
97% |
20303
242.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11288
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11279
86.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
21949
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32791
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33591
43.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70480
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6507
240.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6358
234.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12149
450.0 IPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
283
379.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2441
42.1 IPS |
