HP HP ENVY Laptop 16-h1xxx
Geekbench ML Score
12474
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:35 PM |
| Views | 4 |
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 | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5664
1.06 KIPS |
|
|
Image Classification (F16)
|
100% |
5988
1.12 KIPS |
|
|
Image Classification (I8)
|
100% |
5150
963.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
9025
150.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9271
154.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8210
137.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
70890
85.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
69032
83.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
64301
77.9 IPS |
|
|
Object Detection (F32)
|
100% |
4668
348.5 IPS |
|
|
Object Detection (F16)
|
100% |
4582
342.1 IPS |
|
|
Object Detection (I8)
|
61% |
4448
332.1 IPS |
|
|
Face Detection (F32)
|
100% |
15963
189.8 IPS |
|
|
Face Detection (F16)
|
100% |
15609
185.6 IPS |
|
|
Face Detection (I8)
|
89% |
13347
158.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35457
275.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35981
279.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
30185
234.1 IPS |
|
|
Style Transfer (F32)
|
100% |
130832
172.1 IPS |
|
|
Style Transfer (F16)
|
100% |
110703
145.6 IPS |
|
|
Style Transfer (I8)
|
98% |
99544
130.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21797
778.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21196
757.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16351
583.9 IPS |
|
|
Text Classification (F32)
|
100% |
2557
3.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2542
3.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1290
1.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
3189
58.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3182
58.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1783
32.8 IPS |
