HP HP Pavilion Laptop 16-af0xxx
Geekbench AI Score
1940
Single Precision Score
798
Half Precision Score
3067
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | October 20 2024 09:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 16-af0xxx |
| Motherboard | HP 8CB5 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
99% |
2274
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2583
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1882
2.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
11497
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
88% |
1223
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
2897
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3854
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.06 IPS |
|
|
Depth Estimation (Q)
|
77% |
5048
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6539
8.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4048
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
12091
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2352
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
477
637.0 IPS |
|
|
Text Classification (Q)
|
97% |
1309
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
60% |
1641
36.6 IPS |
