HP HP Notebook
Geekbench AI Score
446
Single Precision Score
261
Half Precision Score
457
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fay_1 |
| Upload Date | October 24 2025 04:13 PM |
| Views | 7 |
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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
96% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
308
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
609
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
691
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
239
26.1 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
96% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
781
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
358
2.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
809
6.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1457
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1125
1.45 IPS |
|
|
Style Transfer (Q)
|
87% |
1497
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
401
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.8 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.5 IPS |
|
|
Text Classification (Q)
|
97% |
142
190.5 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (Q)
|
68% |
416
8.03 IPS |
