Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE
Geekbench AI Score
13814
Single Precision Score
13943
Half Precision Score
33561
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sophatvathana |
| Upload Date | April 09 2025 01:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6778
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6759
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
17489
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8835
143.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9280
150.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26693
432.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29958
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28966
33.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
120554
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
7917
628.0 IPS |
|
|
Object Detection (HP)
|
100% |
8426
668.4 IPS |
|
|
Object Detection (Q)
|
88% |
20349
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
18002
213.9 IPS |
|
|
Face Detection (HP)
|
100% |
17750
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
49137
583.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22179
170.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21963
169.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
67839
528.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78573
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
78496
100.9 IPS |
|
|
Style Transfer (Q)
|
98% |
278701
359.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14700
542.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15119
558.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37186
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
8356
143.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8030
138.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8509
146.6 IPS |
