HP HP Pavilion All-in-One 27-d1xxx
Geekbench AI Score
1613
Single Precision Score
825
Half Precision Score
2440
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:49 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion All-in-One 27-d1xxx |
| Motherboard | HP 885E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700T |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 1.39 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
906
168.4 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
99% |
2383
444.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1537
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
11935
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (Q)
|
88% |
1219
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2977
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3336
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
77% |
4549
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6942
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6081
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
12059
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2431
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.5 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (Q)
|
60% |
1234
27.5 IPS |
