HP HP ENVY Laptop 16-h1xxx
Geekbench ML Score
12398
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:32 PM |
| Views | 5 |
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% |
6098
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
5835
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
5098
954.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
8808
147.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8789
146.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8090
135.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
71824
87.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
69778
84.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63183
76.5 IPS |
|
|
Object Detection (F32)
|
100% |
4784
357.2 IPS |
|
|
Object Detection (F16)
|
100% |
4906
366.3 IPS |
|
|
Object Detection (I8)
|
61% |
4409
329.2 IPS |
|
|
Face Detection (F32)
|
100% |
15470
183.9 IPS |
|
|
Face Detection (F16)
|
100% |
16325
194.1 IPS |
|
|
Face Detection (I8)
|
89% |
13469
160.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
35344
274.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
35680
276.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
30585
237.2 IPS |
|
|
Style Transfer (F32)
|
100% |
130253
171.3 IPS |
|
|
Style Transfer (F16)
|
100% |
109530
144.1 IPS |
|
|
Style Transfer (I8)
|
98% |
99812
131.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20626
736.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19579
699.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16492
589.0 IPS |
|
|
Text Classification (F32)
|
100% |
2513
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
2544
3.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1278
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
3061
56.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3228
59.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1693
31.2 IPS |
