Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E
Geekbench AI Score
6931
Single Precision Score
3007
Half Precision Score
11823
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hnhparitosh |
| Upload Date | January 11 2026 08:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850M AORUS ELITE WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6303
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (Q)
|
99% |
12570
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13398
217.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11167
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
39155
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5701
452.2 IPS |
|
|
Object Detection (HP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (Q)
|
86% |
13168
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
8195
97.4 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
14009
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13494
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3879
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25114
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27101
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20898
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25584
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5342
197.8 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2574
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4968
99.8 IPS |
