HP HP Pavilion Aero Laptop 13-be2xxx
Geekbench AI Score
2230
Single Precision Score
1044
Half Precision Score
3570
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 07:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Aero Laptop 13-be2xxx |
| Motherboard | HP 8BD6 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (Q)
|
96% |
3551
663.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
1966
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3012
3.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
8239
9.74 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
58% |
2349
256.7 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6070
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5297
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1611
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7601
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9308
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7649
9.83 IPS |
|
|
Style Transfer (Q)
|
87% |
12767
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1965
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (Q)
|
97% |
1269
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1697
32.8 IPS |
