HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
4191
Single Precision Score
1594
Half Precision Score
7711
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | October 03 2025 04:10 AM |
| Views | 11 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3886
722.7 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
6767
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10213
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3963
4.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
19579
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
6768
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
7694
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
10725
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9620
74.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1983
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14551
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17187
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10617
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16236
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3376
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6298
233.2 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2940
59.1 IPS |
