HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
4392
Single Precision Score
5718
Half Precision Score
8432
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 07:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe0xxx |
| Motherboard | HP 8BDF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2468
458.9 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (Q)
|
99% |
4592
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3941
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6213
100.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7017
113.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
7284
8.50 IPS |
|
|
Pose Estimation (Q)
|
97% |
28985
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (Q)
|
90% |
4775
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
10786
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
15234
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9517
73.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18361
142.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25017
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36607
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64617
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10661
394.8 IPS |
|
|
Text Classification (SP)
|
71% |
1205
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1361
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1567
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1549
26.7 IPS |
