Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
2882
Single Precision Score
1196
Half Precision Score
3643
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 04:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| 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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
96% |
3240
605.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
4519
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6980
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4764
5.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
8124
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
58% |
2386
260.7 IPS |
|
|
Face Detection (SP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6367
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6623
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7733
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14165
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11684
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13714
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1645
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.0 IPS |
|
|
Text Classification (Q)
|
97% |
714
956.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1834
35.4 IPS |
