Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E
Geekbench AI Score
6272
Single Precision Score
2411
Half Precision Score
9363
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5169
961.2 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (Q)
|
99% |
9033
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4326
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13902
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7838
9.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
42495
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
86% |
10574
849.8 IPS |
|
|
Face Detection (SP)
|
100% |
10532
125.1 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
12740
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14299
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3329
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23135
184.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30210
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20603
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20637
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3690
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6123
226.7 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4423
88.9 IPS |
