HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
2837
Single Precision Score
1459
Half Precision Score
4452
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | kzk |
| Upload Date | October 05 2024 02:00 AM |
| Views | 6 |
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% |
1853
344.6 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
99% |
4423
825.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3242
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5293
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
21818
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
88% |
1971
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
4139
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6433
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2234
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5516
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14263
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11542
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20332
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2934
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.5 IPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1995
44.5 IPS |
