Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE
Geekbench AI Score
10468
Single Precision Score
3507
Half Precision Score
14336
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 29 2025 01:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8718
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (Q)
|
99% |
15438
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5618
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18007
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13799
16.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
58168
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
8731
692.5 IPS |
|
|
Object Detection (HP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (Q)
|
86% |
16048
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
21746
258.4 IPS |
|
|
Face Detection (HP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
16984
202.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22864
176.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5050
38.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
39545
315.6 IPS |
|
|
Style Transfer (SP)
|
100% |
41714
53.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29083
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45592
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6406
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7402
274.1 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2767
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
7226
145.2 IPS |
