Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E
Geekbench AI Score
2588
Single Precision Score
1966
Half Precision Score
6156
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 11:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 GAMING X WIFI6E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
1128
209.7 IPS |
|
|
Image Classification (Q)
|
100% |
3586
666.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4855
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
14427
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
88% |
3436
275.5 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
9089
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3048
23.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10041
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11683
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8128
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37430
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5308
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2849
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1754
30.2 IPS |
