HP HP ProOne 400 G3 20.0-in Non-Touch AiO
Geekbench AI Score
729
Single Precision Score
425
Half Precision Score
987
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6100T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProOne 400 G3 20.0-in Non-Touch AiO |
| Motherboard | HP 82A6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
588
9.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
1877
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
58% |
525
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
423
5.03 IPS |
|
|
Face Detection (Q)
|
96% |
1711
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
619
4.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
1943
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2450
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1862
2.39 IPS |
|
|
Style Transfer (Q)
|
87% |
3205
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1032
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.0 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.3 IPS |
|
|
Text Classification (Q)
|
97% |
290
389.1 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (Q)
|
68% |
740
14.3 IPS |
