HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
2437
Single Precision Score
1237
Half Precision Score
3149
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | kzk |
| Upload Date | September 19 2024 05:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fa0xxx |
| Motherboard | HP 8C69 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
3764
702.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1980
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
17715
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
88% |
1645
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
3924
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1846
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3995
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11066
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9039
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18797
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1989
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2795
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
634
845.6 IPS |
|
|
Text Classification (Q)
|
97% |
353
472.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
60% |
1523
34.0 IPS |
