HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
5005
Single Precision Score
1769
Half Precision Score
8962
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | October 17 2025 02:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ENVY Desktop TE02-1xxx |
| Motherboard | HP 8A9B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4254
791.1 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
7009
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10941
177.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8290
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4520
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
28756
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3712
294.5 IPS |
|
|
Object Detection (HP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (Q)
|
86% |
7477
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
10468
124.4 IPS |
|
|
Face Detection (HP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11513
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10865
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2415
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17828
142.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19174
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10939
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24621
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3537
130.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6367
235.8 IPS |
|
|
Text Classification (SP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3578
71.9 IPS |
