HP HP ENVY TE01-1xxx
Geekbench AI Score
2301
Single Precision Score
1108
Half Precision Score
3287
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 04:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ENVY TE01-1xxx |
| Motherboard | HP 8767 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (Q)
|
96% |
3052
570.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1950
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
9235
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
58% |
2333
254.9 IPS |
|
|
Face Detection (SP)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
4709
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4949
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7388
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10710
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9124
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
8672
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2370
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.0 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1492
28.8 IPS |
