HP HP ENVY Laptop 13-ba1xxx
Geekbench ML Score
1511
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Atheris |
| Upload Date | August 29 2024 06:45 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 | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
732
137.0 IPS |
|
|
Image Classification (F16)
|
100% |
780
145.9 IPS |
|
|
Image Classification (I8)
|
100% |
621
116.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1090
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1081
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
792
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6859
8.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
7149
8.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
4032
4.88 IPS |
|
|
Object Detection (F32)
|
100% |
775
57.9 IPS |
|
|
Object Detection (F16)
|
100% |
759
56.6 IPS |
|
|
Object Detection (I8)
|
54% |
639
47.7 IPS |
|
|
Face Detection (F32)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (F16)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (I8)
|
89% |
1086
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3790
29.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3752
29.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2729
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16001
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16034
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
10240
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2513
89.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2577
92.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1090
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
457
657.0 IPS |
|
|
Text Classification (F16)
|
100% |
456
654.7 IPS |
|
|
Text Classification (I8)
|
98% |
261
374.8 IPS |
|
|
Machine Translation (F32)
|
100% |
541
9.96 IPS |
|
|
Machine Translation (F16)
|
100% |
538
9.90 IPS |
|
|
Machine Translation (I8)
|
70% |
333
6.13 IPS |
