HP HP ENVY Laptop 13-ba1xxx
Geekbench ML Score
2790
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Atheris |
| Upload Date | August 29 2024 06:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HP HP ENVY Laptop 13-ba1xxx |
| Motherboard | HP 8829 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX450 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1389
260.0 IPS |
|
|
Image Classification (F16)
|
100% |
1363
255.0 IPS |
|
|
Image Classification (I8)
|
100% |
1151
215.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1948
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1986
33.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1734
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11558
14.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
11617
14.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10383
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1107
82.7 IPS |
|
|
Object Detection (F16)
|
100% |
1084
80.9 IPS |
|
|
Object Detection (I8)
|
60% |
1074
80.2 IPS |
|
|
Face Detection (F32)
|
100% |
3193
38.0 IPS |
|
|
Face Detection (F16)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (I8)
|
89% |
2610
31.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8021
62.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8065
62.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6472
50.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22920
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23723
31.2 IPS |
|
|
Style Transfer (I8)
|
98% |
20288
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4069
145.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4139
147.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2681
95.7 IPS |
|
|
Text Classification (F32)
|
100% |
659
947.6 IPS |
|
|
Text Classification (F16)
|
100% |
662
951.0 IPS |
|
|
Text Classification (I8)
|
98% |
506
727.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1117
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1093
20.1 IPS |
|
|
Machine Translation (I8)
|
70% |
590
10.9 IPS |
