HP HP Envy x360 2-in-1 Laptop 14-fa0xxx
Geekbench AI Score
6939
Single Precision Score
10007
Half Precision Score
5350
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tinhpham |
| Upload Date | December 30 2024 09:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon TM Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
2534
471.2 IPS |
|
|
Image Classification (HP)
|
100% |
4011
745.9 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4155
67.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2964
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32316
37.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
59957
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24674
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (Q)
|
87% |
2285
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
5662
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
9616
114.3 IPS |
|
|
Face Detection (Q)
|
97% |
4716
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15070
116.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22411
172.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11971
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59153
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95888
123.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42012
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11228
414.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18214
672.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7973
295.2 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1542
28.9 IPS |
