HP HP Envy Laptop 17t-cw100
Geekbench AI Score
2796
Single Precision Score
1173
Half Precision Score
5045
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy Laptop 17t-cw100 |
| Motherboard | HP 8C50 |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (Q)
|
99% |
4595
857.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4491
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
16274
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
4631
372.2 IPS |
|
|
Face Detection (SP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6673
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1699
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11843
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11128
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8375
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16739
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3064
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.5 IPS |
|
|
Text Classification (Q)
|
97% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2229
44.8 IPS |
