HP HP Pavilion x360 Convertible 14-dy1xxx
Geekbench AI Score
1286
Single Precision Score
671
Half Precision Score
2937
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AKObaid |
| Upload Date | April 08 2025 07:32 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-dy1xxx |
| Motherboard | HP 89BD |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
927
172.4 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
2896
540.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
7048
8.26 IPS |
|
|
Object Detection (SP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
86% |
2500
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
97% |
4221
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2348
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
951
7.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
5592
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3998
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3608
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9080
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.5 IPS |
|
|
Text Classification (Q)
|
97% |
942
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
65% |
1573
31.6 IPS |
