HP HP EliteBook 840 G3
Geekbench ML Score
461
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | Matso |
| Upload Date | April 13 2024 09:31 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 18.04.6 LTS |
| Model | HP HP EliteBook 840 G3 |
| Motherboard | HP 8079 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
342
64.0 IPS |
|
|
Image Classification (F16)
|
100% |
342
64.0 IPS |
|
|
Image Classification (I8)
|
99% |
181
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
429
7.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.16 IPS |
|
|
Image Segmentation (I8)
|
98% |
210
3.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
582
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
582
0.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
418
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
365
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
365
27.3 IPS |
|
|
Object Detection (I8)
|
65% |
205
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
784
9.32 IPS |
|
|
Face Detection (F16)
|
100% |
780
9.27 IPS |
|
|
Face Detection (I8)
|
87% |
439
5.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
701
5.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
695
5.39 IPS |
|
|
Depth Estimation (I8)
|
95% |
475
3.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1041
1.37 IPS |
|
|
Style Transfer (F16)
|
100% |
1045
1.38 IPS |
|
|
Style Transfer (I8)
|
98% |
963
1.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
394
14.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
394
14.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
268
9.57 IPS |
|
|
Text Classification (F32)
|
100% |
499
717.0 IPS |
|
|
Text Classification (F16)
|
100% |
499
716.8 IPS |
|
|
Text Classification (I8)
|
92% |
193
277.3 IPS |
|
|
Machine Translation (F32)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
826
15.2 IPS |
|
|
Machine Translation (I8)
|
62% |
293
5.39 IPS |
