HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
6765
Single Precision Score
6853
Half Precision Score
15100
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | October 17 2025 02:27 AM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4339
807.0 IPS |
|
|
Image Classification (HP)
|
100% |
4309
801.3 IPS |
|
|
Image Classification (Q)
|
100% |
9382
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5545
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5594
90.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10199
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
8006
9.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
29166
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3837
304.3 IPS |
|
|
Object Detection (HP)
|
100% |
3813
302.4 IPS |
|
|
Object Detection (Q)
|
88% |
9734
780.3 IPS |
|
|
Face Detection (SP)
|
100% |
10383
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11058
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
23376
277.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9691
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10204
78.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25336
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24187
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24575
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85331
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5233
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5274
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16228
601.0 IPS |
|
|
Text Classification (SP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5365
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5386
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5456
94.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5159
88.9 IPS |
