HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx
Geekbench AI Score
1158
Single Precision Score
2339
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DelanLn |
| Upload Date | January 27 2025 06:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-aa0xxx |
| Motherboard | HP 8C17 |
| Power Plan | Balanced |
| 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 | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (HP)
|
99% |
1241
231.5 IPS |
|
|
Image Classification (Q)
|
99% |
441
82.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
595
9.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
5599
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16903
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4094
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (Q)
|
84% |
478
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
771
9.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5197
40.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1782
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8880
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24908
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
6653
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1279
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.7 IPS |
|
|
Text Classification (HP)
|
99% |
471
628.2 IPS |
|
|
Text Classification (Q)
|
97% |
226
302.4 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
70% |
169
3.17 IPS |
