HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
1994
Single Precision Score
1090
Half Precision Score
2605
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:31 AM |
| 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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1046
194.5 IPS |
|
|
Image Classification (HP)
|
100% |
398
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
3164
590.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3461
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
14830
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
88% |
1221
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
2468
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4619
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3918
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8648
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8320
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17390
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1722
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (Q)
|
97% |
337
451.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1653
36.9 IPS |
