Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E
Geekbench AI Score
7030
Single Precision Score
2520
Half Precision Score
10200
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:12 AM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5522
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
99% |
9743
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4572
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14775
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
48888
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
5070
402.2 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
86% |
11608
932.9 IPS |
|
|
Face Detection (SP)
|
100% |
13777
163.7 IPS |
|
|
Face Detection (HP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
13205
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16447
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3585
27.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25243
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31781
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21654
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29553
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6892
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3832
77.0 IPS |
