HP ONNX HP HP Engage Flex Mini Retail System
Geekbench AI Score
940
Single Precision Score
1087
Half Precision Score
774
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ngless |
| Upload Date | June 06 2025 08:10 PM |
| Views | 3 |
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 Engage Flex Mini Retail System |
| Motherboard | HP 8715 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
399
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (Q)
|
100% |
412
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
2086
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
98% |
491
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
447
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
827
9.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1711
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1486
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5852
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
8706
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5052
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
852
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.4 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
70% |
279
5.23 IPS |
