Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E
Geekbench AI Score
2921
Single Precision Score
1402
Half Precision Score
5121
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | yopjman |
| Upload Date | December 24 2025 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
4988
927.6 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
99% |
8265
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12767
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12056
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7887
9.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
7739
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
86% |
10518
845.3 IPS |
|
|
Face Detection (SP)
|
100% |
12062
143.3 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
97% |
2800
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1607
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
3099
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7931
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6678
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
11759
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7060
261.4 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1288
25.9 IPS |
