Gigabyte Technology Co., Ltd. B860 EAGLE WIFI6E
Geekbench AI Score
17432
Single Precision Score
30015
Half Precision Score
11325
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Cruxys |
| Upload Date | February 04 2026 03:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860 EAGLE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 EAGLE WIFI6E |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7223
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
11758
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
4969
924.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
12458
202.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20219
327.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9703
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
90364
105.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
257138
300.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73084
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8582
680.7 IPS |
|
|
Object Detection (HP)
|
100% |
15170
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
6427
517.4 IPS |
|
|
Face Detection (SP)
|
100% |
21387
254.1 IPS |
|
|
Face Detection (HP)
|
100% |
35890
426.4 IPS |
|
|
Face Detection (Q)
|
97% |
16791
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
42371
326.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79738
614.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28162
225.4 IPS |
|
|
Style Transfer (SP)
|
100% |
147399
189.5 IPS |
|
|
Style Transfer (HP)
|
100% |
370305
476.0 IPS |
|
|
Style Transfer (Q)
|
98% |
115982
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27017
997.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40176
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16044
594.1 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |
