HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
2108
Single Precision Score
938
Half Precision Score
2828
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 07:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe0xxx |
| Motherboard | HP 8BDF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
99% |
2355
439.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2073
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3827
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
10712
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
88% |
1304
104.6 IPS |
|
|
Face Detection (SP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
3125
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4148
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5549
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8694
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5701
7.33 IPS |
|
|
Style Transfer (Q)
|
98% |
13367
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2923
108.2 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.0 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1468
32.7 IPS |
