Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7
Geekbench AI Score
6562
Single Precision Score
2390
Half Precision Score
10917
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 08:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4781
889.1 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
99% |
12834
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4353
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12908
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10418
12.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
42362
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
5280
418.8 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.6 IPS |
|
|
Object Detection (Q)
|
86% |
13092
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10326
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
13936
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14353
110.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3177
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24712
197.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27020
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39216
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5373
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3968
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5154
103.6 IPS |
