HP HP Pavilion x360 Convertible 14-dw1xxx
Geekbench AI Score
1169
Single Precision Score
633
Half Precision Score
1853
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RayanTawfiq |
| Upload Date | November 17 2024 09:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-dw1xxx |
| Motherboard | HP 87F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (HP)
|
100% |
263
49.0 IPS |
|
|
Image Classification (Q)
|
99% |
1657
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1658
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5731
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
88% |
836
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (Q)
|
97% |
2126
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1840
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
77% |
3659
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4166
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3608
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9943
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
784
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2007
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.1 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
60% |
1121
25.0 IPS |
