HP HP ENVY TE01-5xxx
Geekbench ML Score
3952
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 04:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ENVY TE01-5xxx |
| Motherboard | HP 8B3B |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2082
389.6 IPS |
|
|
Image Classification (F16)
|
100% |
2093
391.8 IPS |
|
|
Image Classification (I8)
|
99% |
3656
684.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1788
29.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1822
30.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2993
50.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8227
9.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
8447
10.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
26997
32.7 IPS |
|
|
Object Detection (F32)
|
100% |
1905
142.3 IPS |
|
|
Object Detection (F16)
|
100% |
1939
144.8 IPS |
|
|
Object Detection (I8)
|
62% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (F16)
|
100% |
3377
40.2 IPS |
|
|
Face Detection (I8)
|
89% |
3947
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7891
61.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8102
62.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14285
110.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18149
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17333
22.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18948
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3641
130.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3453
123.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4993
178.3 IPS |
|
|
Text Classification (F32)
|
100% |
1507
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1069
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1994
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1931
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2911
53.6 IPS |
