Gigabyte Technology Co., Ltd. B860 AORUS ELITE WIFI7 ICE
Geekbench AI Score
5275
Single Precision Score
2107
Half Precision Score
5766
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:12 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. B860 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
2999
557.7 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
99% |
4964
925.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4425
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13693
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7778
9.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
44802
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
3230
256.2 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
88% |
2657
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4965
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
5297
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12703
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2997
23.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
10964
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29793
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19645
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22517
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5806
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
1994
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
660
883.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3104
69.2 IPS |
