HP HP Laptop 17-cn0xxx
Geekbench AI Score
2070
Single Precision Score
2068
Half Precision Score
5898
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | 841Dev |
| Upload Date | May 28 2025 09:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
100% |
4068
756.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2440
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
9610
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (Q)
|
88% |
3915
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (Q)
|
100% |
9279
110.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3315
25.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
10031
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6608
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
6586
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
24964
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5214
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3123
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2484
42.8 IPS |
