HP HP Envy Laptop 17t-cw100
Geekbench AI Score
2493
Single Precision Score
1039
Half Precision Score
4777
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 10:00 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% |
1827
339.7 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
99% |
4158
775.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2531
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
15605
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
4402
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
5044
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6372
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1574
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9784
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9803
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6040
7.77 IPS |
|
|
Style Transfer (Q)
|
98% |
15732
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3090
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.3 IPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.60 IPS |
|
|
Machine Translation (Q)
|
65% |
2225
44.7 IPS |
