HP HP ENVY Notebook
Geekbench AI Score
625
Single Precision Score
630
Half Precision Score
338
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | bugwhine |
| Upload Date | July 21 2025 02:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-6560U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP ENVY Notebook |
| Motherboard | HP 81CB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6560U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
210
39.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
249
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
616
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
491
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
85% |
220
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
496
5.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
728
5.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
63% |
437
4.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1089
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1111
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.7 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.6 IPS |
|
|
Text Classification (Q)
|
92% |
223
299.7 IPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
58% |
218
5.12 IPS |
