HP HP Pavilion Plus Laptop 16-ab1xxx
Geekbench AI Score
2629
Single Precision Score
1140
Half Precision Score
3329
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 05:26 AM |
| Views | 77 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Pavilion Plus Laptop 16-ab1xxx |
| Motherboard | HP 8CB7 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
2992
558.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2402
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5150
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3393
3.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
17934
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
88% |
1562
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
3341
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6285
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11410
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8211
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17334
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3300
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
568
757.5 IPS |
|
|
Text Classification (Q)
|
97% |
462
618.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1498
33.4 IPS |
