Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E
Geekbench AI Score
4537
Single Precision Score
6510
Half Precision Score
3092
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2775
516.1 IPS |
|
|
Image Classification (HP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (Q)
|
99% |
2027
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3260
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2221
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
16242
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
7544
8.84 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (Q)
|
86% |
2094
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
9158
108.8 IPS |
|
|
Face Detection (Q)
|
97% |
3769
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9346
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15073
116.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6740
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23924
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39633
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19031
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4472
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7365
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3129
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
754
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2541
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
986
18.5 IPS |
