HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
6130
Single Precision Score
6158
Half Precision Score
14435
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | October 03 2025 04:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4119
766.0 IPS |
|
|
Image Classification (HP)
|
100% |
4025
748.6 IPS |
|
|
Image Classification (Q)
|
100% |
9150
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5139
83.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5093
82.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9201
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7873
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7054
8.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
27081
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3546
281.3 IPS |
|
|
Object Detection (HP)
|
100% |
3507
278.2 IPS |
|
|
Object Detection (Q)
|
88% |
9766
782.8 IPS |
|
|
Face Detection (SP)
|
100% |
7606
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
7924
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
22144
263.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9305
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8969
69.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23990
186.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23472
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84173
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15799
585.1 IPS |
|
|
Text Classification (SP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4866
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4752
81.9 IPS |
