HP HP Laptop 17-cn0xxx
Geekbench AI Score
987
Single Precision Score
983
Half Precision Score
644
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | 841Dev |
| Upload Date | May 27 2025 03:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP Laptop 17-cn0xxx |
| Motherboard | HP 883C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (Q)
|
99% |
333
62.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1002
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (Q)
|
85% |
453
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1047
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1130
8.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1132
8.72 IPS |
|
|
Depth Estimation (Q)
|
63% |
864
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1375
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2238
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
604
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
395
530.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
58% |
347
8.15 IPS |
