HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
1187
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | September 10 2024 02:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
712
133.3 IPS |
|
|
Image Classification (F16)
|
100% |
750
140.3 IPS |
|
|
Image Classification (I8)
|
97% |
1123
210.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
515
8.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
517
8.64 IPS |
|
|
Image Segmentation (I8)
|
97% |
951
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1543
1.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
1209
1.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
4291
5.20 IPS |
|
|
Object Detection (F32)
|
100% |
665
49.6 IPS |
|
|
Object Detection (F16)
|
100% |
614
45.9 IPS |
|
|
Object Detection (I8)
|
60% |
744
55.6 IPS |
|
|
Face Detection (F32)
|
100% |
832
9.90 IPS |
|
|
Face Detection (F16)
|
100% |
723
8.59 IPS |
|
|
Face Detection (I8)
|
87% |
1479
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2139
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2021
15.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
3920
30.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4253
5.59 IPS |
|
|
Style Transfer (F16)
|
100% |
4642
6.11 IPS |
|
|
Style Transfer (I8)
|
85% |
5315
6.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1146
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1117
39.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1627
58.1 IPS |
|
|
Text Classification (F32)
|
100% |
923
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
685
985.1 IPS |
|
|
Text Classification (I8)
|
94% |
325
467.3 IPS |
|
|
Machine Translation (F32)
|
100% |
883
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
67% |
973
17.9 IPS |
