HP HP Notebook
Geekbench AI Score
428
Single Precision Score
261
Half Precision Score
426
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fay_1 |
| Upload Date | October 24 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-5005U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP Notebook |
| Motherboard | HP 81EF |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
96% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
290
4.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
609
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
688
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.1 IPS |
|
|
Object Detection (Q)
|
58% |
224
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
630
7.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
781
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1449
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1143
1.47 IPS |
|
|
Style Transfer (Q)
|
87% |
1488
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
329
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (Q)
|
97% |
140
187.6 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (Q)
|
68% |
418
8.07 IPS |
