HP 860-010ng
Geekbench AI Score
1321
Single Precision Score
706
Half Precision Score
1683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP 860-010ng |
| Motherboard | HP 2B4B |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.2 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
862
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1545
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3460
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
58% |
966
105.6 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
96% |
2848
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
968
7.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
3421
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4624
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3922
5.04 IPS |
|
|
Style Transfer (Q)
|
87% |
6716
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1417
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.3 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1330
25.7 IPS |
