HP HP ENVY Desktop TE02-1xxx
Geekbench AI Score
18688
Single Precision Score
29572
Half Precision Score
12550
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ebarrera |
| Upload Date | October 03 2025 04:18 AM |
| Views | 5 |
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% |
10050
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
12830
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
7555
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12368
200.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15011
243.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9544
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
50319
58.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
214281
250.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
43417
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
11543
915.6 IPS |
|
|
Object Detection (HP)
|
100% |
15127
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
8853
710.6 IPS |
|
|
Face Detection (SP)
|
100% |
25184
299.2 IPS |
|
|
Face Detection (HP)
|
100% |
32956
391.6 IPS |
|
|
Face Detection (Q)
|
97% |
17914
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
60529
466.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94809
730.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34633
277.6 IPS |
|
|
Style Transfer (SP)
|
100% |
186138
239.3 IPS |
|
|
Style Transfer (HP)
|
100% |
501075
644.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123361
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29186
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52064
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15778
584.2 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1696
31.8 IPS |
