HP HP ENVY Laptop 17-cr1xxx
Geekbench AI Score
2750
Single Precision Score
2826
Half Precision Score
6837
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 01:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (Q)
|
100% |
4318
803.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4575
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
1662
131.9 IPS |
|
|
Object Detection (Q)
|
88% |
4410
353.5 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (Q)
|
100% |
9610
114.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4252
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4340
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11327
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9493
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9784
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32906
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7462
276.3 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2882
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2802
48.3 IPS |
