HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
19365
Single Precision Score
30533
Half Precision Score
13019
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | September 24 2025 03:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
10043
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
12591
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
7713
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13908
225.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16947
274.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10956
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
50827
59.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
208723
243.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
43886
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
12182
966.3 IPS |
|
|
Object Detection (HP)
|
100% |
15678
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
9287
745.4 IPS |
|
|
Face Detection (SP)
|
100% |
26852
319.1 IPS |
|
|
Face Detection (HP)
|
100% |
36281
431.1 IPS |
|
|
Face Detection (Q)
|
97% |
18778
223.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
61162
471.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94276
726.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34925
279.9 IPS |
|
|
Style Transfer (SP)
|
100% |
188685
242.6 IPS |
|
|
Style Transfer (HP)
|
100% |
515448
662.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127153
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29417
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51977
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15109
559.5 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1814
34.0 IPS |
