HP HP Spectre x360 Convertible 14-ea0xxx
Geekbench AI Score
4603
Single Precision Score
4588
Half Precision Score
3608
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 06:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Spectre x360 Convertible 14-ea0xxx |
| Motherboard | HP 87F7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
1861
346.1 IPS |
|
|
Image Classification (Q)
|
99% |
1015
189.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2331
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34830
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19845
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28775
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (Q)
|
83% |
1435
116.0 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (Q)
|
97% |
2945
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11475
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10639
82.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9146
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57082
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35668
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45521
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9787
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7421
274.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6386
236.5 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
607
813.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1341
23.2 IPS |
|
|
Machine Translation (Q)
|
70% |
807
15.1 IPS |
