HP HP All-in-One 24-df0xxx
Geekbench AI Score
929
Single Precision Score
1060
Half Precision Score
729
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP All-in-One 24-df0xxx |
| Motherboard | HP 86F7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
100% |
393
73.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
466
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3516
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
1976
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
98% |
469
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
408
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
753
8.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1653
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2017
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1382
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
8362
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4692
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.1 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.3 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.5 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
70% |
267
5.01 IPS |
