Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
4188
Single Precision Score
1568
Half Precision Score
5739
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 08:07 AM |
| Views | 6 |
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% |
2983
554.7 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
96% |
5409
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3023
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9264
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
17750
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
58% |
4196
458.4 IPS |
|
|
Face Detection (SP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
9226
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9576
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13143
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19721
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16734
21.5 IPS |
|
|
Style Transfer (Q)
|
87% |
20817
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3088
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.8 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3333
64.4 IPS |
