HP HP ENVY TE01-0xxx
Geekbench AI Score
2850
Single Precision Score
1154
Half Precision Score
3947
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 10:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY TE01-0xxx |
| Motherboard | HP 8653 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2448
455.3 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.1 IPS |
|
|
Image Classification (Q)
|
96% |
3446
643.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
4360
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
7937
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
58% |
2376
259.6 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
5703
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6607
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1537
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8069
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12277
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9533
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11762
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3268
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.0 IPS |
|
|
Text Classification (Q)
|
97% |
1052
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
1743
33.7 IPS |
