HP OMEN by HP Laptop 17-cm2xxx
Geekbench AI Score
3918
Single Precision Score
1371
Half Precision Score
6241
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wibolo |
| Upload Date | April 30 2025 09:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-cm2xxx |
| Motherboard | HP 8BB0 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3047
566.7 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
5522
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3147
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
22387
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2943
233.5 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
5785
464.9 IPS |
|
|
Face Detection (SP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
8274
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13626
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15208
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8994
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22134
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.2 IPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2905
58.4 IPS |
