Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E
Geekbench AI Score
5247
Single Precision Score
8496
Half Precision Score
12998
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Xtra987 |
| Upload Date | November 29 2025 04:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3742
695.9 IPS |
|
|
Image Classification (HP)
|
100% |
5790
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7892
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4329
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9085
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11415
185.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11421
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10699
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36527
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3570
283.2 IPS |
|
|
Object Detection (HP)
|
100% |
5635
447.0 IPS |
|
|
Object Detection (Q)
|
88% |
8540
684.4 IPS |
|
|
Face Detection (SP)
|
100% |
5878
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
12664
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
22184
263.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11055
85.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
20949
161.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
25170
195.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28503
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40414
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84076
108.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8697
321.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13857
513.2 IPS |
|
|
Text Classification (SP)
|
71% |
1555
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2291
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2354
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2893
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3199
55.3 IPS |
