Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE
Geekbench AI Score
13792
Single Precision Score
13538
Half Precision Score
32984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 03:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6962
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6470
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
17475
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8944
145.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8858
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25550
414.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29604
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29676
34.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
117542
137.6 IPS |
|
|
Object Detection (SP)
|
100% |
8310
659.1 IPS |
|
|
Object Detection (HP)
|
100% |
8328
660.6 IPS |
|
|
Object Detection (Q)
|
88% |
19284
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
16753
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
16090
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
48913
581.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23388
180.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22825
175.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
62897
489.5 IPS |
|
|
Style Transfer (SP)
|
100% |
73955
95.1 IPS |
|
|
Style Transfer (HP)
|
100% |
75278
96.8 IPS |
|
|
Style Transfer (Q)
|
98% |
269931
348.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14163
523.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13961
515.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36730
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4874
6.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
8131
140.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7922
136.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8807
151.7 IPS |
