Hewlett-Packard 500-470nx
Geekbench AI Score
932
Single Precision Score
515
Half Precision Score
1082
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TEALhazmi |
| Upload Date | December 02 2025 03:56 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4460 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Hewlett-Packard 500-470nx |
| Motherboard | Hewlett-Packard 2AF7 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4460 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
96% |
765
142.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
852
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1324
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
2279
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
58% |
543
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
96% |
1746
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
2218
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3869
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3551
4.56 IPS |
|
|
Style Transfer (Q)
|
87% |
3623
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1068
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.9 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.7 IPS |
|
|
Text Classification (Q)
|
97% |
250
335.2 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
68% |
728
14.1 IPS |
