HP HP Pavilion Plus Laptop 16-ab1xxx
Geekbench AI Score
2878
Single Precision Score
2961
Half Precision Score
7004
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Pavilion Plus Laptop 16-ab1xxx |
| Motherboard | HP 8CB9 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (HP)
|
100% |
1626
302.4 IPS |
|
|
Image Classification (Q)
|
100% |
4402
818.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4637
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3880
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
14236
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (Q)
|
88% |
4548
364.6 IPS |
|
|
Face Detection (SP)
|
100% |
5165
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
10166
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4626
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5192
40.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12349
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11487
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10692
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40715
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7445
275.7 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3031
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1865
32.1 IPS |
