HP HP All-in-One 24-df0xxx
Geekbench AI Score
2106
Single Precision Score
932
Half Precision Score
2730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 08:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400T |
| 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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
96% |
2430
453.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1564
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2764
3.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
6057
7.16 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
58% |
1683
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
4331
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4333
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5440
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8249
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6219
7.99 IPS |
|
|
Style Transfer (Q)
|
87% |
9523
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1815
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
503
670.8 IPS |
|
|
Text Classification (Q)
|
97% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1655
32.0 IPS |
