HP HP Pavilion All-in-One 27-d1xxx
Geekbench AI Score
5617
Single Precision Score
4944
Half Precision Score
3974
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 07:02 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.2 IPS |
|
|
Image Classification (Q)
|
100% |
1830
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3510
56.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3008
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24824
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16589
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
21234
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2813
223.1 IPS |
|
|
Object Detection (HP)
|
100% |
2814
223.2 IPS |
|
|
Object Detection (Q)
|
89% |
2070
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
97% |
4195
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14106
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11168
86.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
10442
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46277
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32576
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37057
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6786
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5158
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
676
905.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1701
29.4 IPS |
|
|
Machine Translation (Q)
|
60% |
718
16.0 IPS |
