HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
1844
Single Precision Score
750
Half Precision Score
4051
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | September 25 2025 11:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Laptop 16-af0xxx |
| Motherboard | HP 8CB5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
99% |
3467
646.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
4667
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2076
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
9284
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
86% |
2954
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
5394
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3538
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
8586
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5916
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4009
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
11478
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2884
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.9 IPS |
|
|
Text Classification (Q)
|
97% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1643
33.0 IPS |
