HP HP Envy x360 2-in-1 Laptop 15-fh0xxx
Geekbench AI Score
1796
Single Precision Score
893
Half Precision Score
2262
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 06:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fh0xxx |
| Motherboard | HP 8BE9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
1685
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2515
2.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
6358
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
86% |
1125
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3623
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
3533
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7757
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
6640
8.54 IPS |
|
|
Style Transfer (Q)
|
87% |
9855
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1782
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
1140
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
490
653.6 IPS |
|
|
Text Classification (Q)
|
97% |
948
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1160
25.9 IPS |
