HP HP ENVY Laptop 17-cr1xxx
Geekbench AI Score
2071
Single Precision Score
858
Half Precision Score
3548
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY Laptop 17-cr1xxx |
| Motherboard | HP 8BE7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
3276
611.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
2009
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
11355
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
86% |
3298
265.1 IPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
2592
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4202
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
7893
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8001
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5198
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
14671
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2096
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (Q)
|
97% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
65% |
1959
39.4 IPS |
