HP HP ENVY Laptop 13-ba1xxx
Geekbench ML Score
1223
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Atheris |
| Upload Date | August 29 2024 06:36 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
778
145.6 IPS |
|
|
Image Classification (F16)
|
100% |
617
115.4 IPS |
|
|
Image Classification (I8)
|
99% |
1374
257.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
433
7.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
411
6.87 IPS |
|
|
Image Segmentation (I8)
|
98% |
952
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1562
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1521
1.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
7011
8.49 IPS |
|
|
Object Detection (F32)
|
100% |
585
43.7 IPS |
|
|
Object Detection (F16)
|
100% |
559
41.7 IPS |
|
|
Object Detection (I8)
|
62% |
731
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (F16)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (I8)
|
89% |
2068
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1891
14.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2023
15.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
5645
43.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3729
4.90 IPS |
|
|
Style Transfer (F16)
|
100% |
4122
5.42 IPS |
|
|
Style Transfer (I8)
|
98% |
8243
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
878
31.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
864
30.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1897
67.7 IPS |
|
|
Text Classification (F32)
|
100% |
689
989.9 IPS |
|
|
Text Classification (F16)
|
100% |
685
985.1 IPS |
|
|
Text Classification (I8)
|
98% |
281
403.2 IPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1082
19.9 IPS |
