HP HP ENVY Laptop 16-h1xxx
Geekbench ML Score
2565
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 08:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY Laptop 16-h1xxx |
| Motherboard | HP 8BE5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1263
236.3 IPS |
|
|
Image Classification (F16)
|
100% |
1174
219.6 IPS |
|
|
Image Classification (I8)
|
100% |
977
182.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1876
31.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1885
31.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1378
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10122
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
10236
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
5622
6.81 IPS |
|
|
Object Detection (F32)
|
100% |
1253
93.5 IPS |
|
|
Object Detection (F16)
|
100% |
1333
99.5 IPS |
|
|
Object Detection (I8)
|
54% |
1040
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (F16)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (I8)
|
89% |
1941
23.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6289
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6355
49.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
4392
34.1 IPS |
|
|
Style Transfer (F32)
|
100% |
26888
35.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26805
35.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17717
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3800
135.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3828
136.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1668
59.6 IPS |
|
|
Text Classification (F32)
|
100% |
859
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
784
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
502
721.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1204
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1174
21.6 IPS |
|
|
Machine Translation (I8)
|
70% |
607
11.2 IPS |
