250916 MBG-Willow Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE
Geekbench AI Score
19022
Single Precision Score
30302
Half Precision Score
12851
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | September 16 2025 02:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Power Plan | Balanced |
| 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% |
10141
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
12777
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
7804
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16163
262.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20117
326.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12070
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
51343
59.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
233840
272.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
43857
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
12410
984.4 IPS |
|
|
Object Detection (HP)
|
100% |
16413
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
9355
750.9 IPS |
|
|
Face Detection (SP)
|
100% |
30245
359.4 IPS |
|
|
Face Detection (HP)
|
100% |
40692
483.5 IPS |
|
|
Face Detection (Q)
|
97% |
20293
242.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
62291
479.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96895
746.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35472
284.3 IPS |
|
|
Style Transfer (SP)
|
100% |
193937
249.3 IPS |
|
|
Style Transfer (HP)
|
100% |
516622
664.1 IPS |
|
|
Style Transfer (Q)
|
98% |
127626
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29237
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51133
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15490
573.6 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1311
24.6 IPS |
