Gigabyte Technology Co., Ltd. B860MD3HP
Geekbench AI Score
5609
Single Precision Score
2108
Half Precision Score
9232
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 07:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4270
794.2 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (Q)
|
99% |
7533
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12821
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10871
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
35595
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
3839
304.5 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
6268
503.8 IPS |
|
|
Face Detection (SP)
|
100% |
12539
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
11675
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12747
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21107
168.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24222
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16150
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27857
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5954
220.5 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2765
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3489
70.1 IPS |
