HP
Geekbench AI Score
711
Single Precision Score
685
Half Precision Score
499
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | January 23 2026 06:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | HP |
| Motherboard | HP 81B6 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (Q)
|
99% |
384
71.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
437
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
715
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
85% |
320
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
97% |
794
9.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
758
5.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
757
5.83 IPS |
|
|
Depth Estimation (Q)
|
63% |
608
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1004
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
1545
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.2 IPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
295
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
58% |
228
5.34 IPS |
