Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE
Geekbench AI Score
4947
Single Precision Score
2313
Half Precision Score
7354
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 04:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E ICE |
| Power Plan | Prestazioni elevate |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
99% |
5939
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3866
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16998
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12594
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59610
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
2895
229.7 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
88% |
2949
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
5965
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10415
80.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3532
27.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11531
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33333
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23211
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36191
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6144
227.5 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2023
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3708
82.7 IPS |
