Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
6060
Single Precision Score
6191
Half Precision Score
8157
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | November 07 2025 06:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3428
637.5 IPS |
|
|
Image Classification (HP)
|
100% |
3502
651.3 IPS |
|
|
Image Classification (Q)
|
100% |
5376
999.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5022
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7967
129.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9364
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9386
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
19994
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
4041
320.6 IPS |
|
|
Object Detection (HP)
|
100% |
3934
312.0 IPS |
|
|
Object Detection (Q)
|
87% |
6411
514.2 IPS |
|
|
Face Detection (SP)
|
100% |
9296
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
9357
111.2 IPS |
|
|
Face Detection (Q)
|
97% |
17340
206.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9801
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10082
77.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
18081
142.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21833
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27711
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55734
71.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5537
204.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10323
382.4 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (Q)
|
91% |
434
582.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3598
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3037
52.3 IPS |
