HP HP Pavilion Laptop 15-cc1xx
Geekbench AI Score
1137
Single Precision Score
1259
Half Precision Score
860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 04:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 940MX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Laptop 15-cc1xx |
| Motherboard | HP 83F9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
432
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4090
4.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3562
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
83% |
470
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
707
8.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
2082
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1669
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6841
8.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6998
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
5517
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1871
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
545
728.0 IPS |
|
|
Text Classification (HP)
|
100% |
602
804.0 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.0 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
96% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
70% |
326
6.12 IPS |
