HP HP Laptop 17-cn0xxx
Geekbench AI Score
1462
Single Precision Score
507
Half Precision Score
3299
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | 841Dev |
| Upload Date | May 28 2025 09:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
976
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
97% |
3068
572.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2439
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
8438
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
2908
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
97% |
5957
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2784
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
740
5.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
6324
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5860
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4776
6.14 IPS |
|
|
Style Transfer (Q)
|
98% |
7910
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2288
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
377
503.2 IPS |
|
|
Text Classification (Q)
|
97% |
1076
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
65% |
1441
29.0 IPS |
