Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
4395
Single Precision Score
1718
Half Precision Score
6269
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | November 07 2025 06:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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% |
3459
643.2 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
96% |
5363
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
7564
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9425
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6637
7.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
17280
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3506
278.1 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
58% |
4207
459.7 IPS |
|
|
Face Detection (SP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
9376
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9902
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2358
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13513
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20245
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17265
22.2 IPS |
|
|
Style Transfer (Q)
|
87% |
20967
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3487
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.1 IPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2989
57.7 IPS |
