Gigabyte Technology Co., Ltd. B860MD3HP
Geekbench AI Score
4319
Single Precision Score
5866
Half Precision Score
3006
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 07:18 PM |
| Views | 2 |
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. B860MD3HP |
| Motherboard | Gigabyte Technology Co., Ltd. B860M D3HP |
| Power Plan | Equilibrado |
| 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% |
2922
543.3 IPS |
|
|
Image Classification (HP)
|
100% |
3562
662.5 IPS |
|
|
Image Classification (Q)
|
99% |
2160
402.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5540
89.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1637
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10094
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8786
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.8 IPS |
|
|
Object Detection (HP)
|
99% |
3822
304.1 IPS |
|
|
Object Detection (Q)
|
85% |
2271
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
5690
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (Q)
|
97% |
3742
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
14785
114.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6536
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26745
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40076
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20941
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7558
279.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3329
123.3 IPS |
|
|
Text Classification (SP)
|
86% |
817
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
84% |
511
693.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
982
18.4 IPS |
