HP HP Laptop 15-bs0xx
Geekbench AI Score
391
Single Precision Score
215
Half Precision Score
530
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 07:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6006U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15-bs0xx |
| Motherboard | HP 8329 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6006U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
96% |
319
59.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
411
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
789
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (Q)
|
58% |
266
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.06 IPS |
|
|
Face Detection (Q)
|
96% |
852
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
906
7.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1291
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
956
1.23 IPS |
|
|
Style Transfer (Q)
|
87% |
1724
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
442
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.7 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.7 IPS |
|
|
Text Classification (Q)
|
97% |
214
287.2 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
68% |
513
9.92 IPS |
