HP HP ProBook 440 G3
Geekbench AI Score
523
Single Precision Score
526
Half Precision Score
291
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 30 2024 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6200U |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | HP HP ProBook 440 G3 |
| Motherboard | HP 8100 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
99% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
215
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
422
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
85% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (Q)
|
97% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.98 IPS |
|
|
Depth Estimation (Q)
|
63% |
385
3.61 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
956
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
254
9.43 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.7 IPS |
|
|
Text Classification (HP)
|
100% |
536
715.1 IPS |
|
|
Text Classification (Q)
|
92% |
194
260.3 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
58% |
186
4.37 IPS |
