Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP
Geekbench AI Score
6902
Single Precision Score
2579
Half Precision Score
12034
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sipos |
| Upload Date | April 17 2025 05:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4484
833.9 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
12535
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5132
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22599
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13643
15.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
80677
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
4826
382.8 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
13799
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
9227
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
14649
174.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18050
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3952
30.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
28961
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36610
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32875
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47581
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3282
121.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4383
88.1 IPS |
