HP HP ENVY x360 2-in-1 Laptop 15-ew0xxx
Geekbench AI Score
1972
Single Precision Score
884
Half Precision Score
2523
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | AKLechner |
| Upload Date | November 14 2024 11:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY x360 2-in-1 Laptop 15-ew0xxx |
| Motherboard | HP 8A29 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1220
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
99% |
1333
248.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1810
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3644
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1627
1.90 IPS |
|
|
Pose Estimation (Q)
|
95% |
10614
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
88% |
1266
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
3105
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4435
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1075
8.28 IPS |
|
|
Depth Estimation (Q)
|
77% |
5316
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9522
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6175
7.94 IPS |
|
|
Style Transfer (Q)
|
98% |
12051
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2909
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.5 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1346
30.0 IPS |
