Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E ICE
Geekbench AI Score
6530
Single Precision Score
2496
Half Precision Score
11229
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 07:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E ICE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5500
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
822
152.8 IPS |
|
|
Image Classification (Q)
|
99% |
8845
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1638
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16119
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13487
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7734
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
42495
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
4793
380.2 IPS |
|
|
Object Detection (HP)
|
100% |
1081
85.8 IPS |
|
|
Object Detection (Q)
|
86% |
11256
904.7 IPS |
|
|
Face Detection (SP)
|
100% |
11519
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
13900
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14901
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3406
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24343
194.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28445
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18891
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27350
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7211
267.0 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4386
88.1 IPS |
