HP HP ProOne 440 G6 24 All-in-One PC
Geekbench AI Score
2355
Single Precision Score
1012
Half Precision Score
3237
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 09:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProOne 440 G6 24 All-in-One PC |
| Motherboard | HP 871C |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700T |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
2843
531.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
3433
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4083
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3443
4.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
7341
8.68 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
1955
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
4467
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6404
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9945
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8228
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
8937
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2766
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
556
741.9 IPS |
|
|
Text Classification (Q)
|
97% |
816
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1567
30.3 IPS |
