HP HP Pavilion Plus Laptop 16-ab1xxx
Geekbench AI Score
5830
Single Precision Score
8392
Half Precision Score
11998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 10:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4161
773.9 IPS |
|
|
Image Classification (HP)
|
100% |
5529
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
6263
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3428
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9115
147.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12388
200.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15291
17.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
13674
16.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
35971
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
4054
321.6 IPS |
|
|
Object Detection (HP)
|
100% |
5741
455.4 IPS |
|
|
Object Detection (Q)
|
88% |
7385
591.8 IPS |
|
|
Face Detection (SP)
|
100% |
9220
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
16741
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
24634
292.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14542
112.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
22596
174.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
23462
182.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33561
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38400
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96009
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9001
332.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14163
524.5 IPS |
|
|
Text Classification (SP)
|
71% |
1100
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1520
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2206
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2195
37.8 IPS |
