HP HP ENVY All-in-One Desktop 34-c0xxx
Geekbench AI Score
5551
Single Precision Score
4423
Half Precision Score
4132
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 07:05 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY All-in-One Desktop 34-c0xxx |
| Motherboard | HP 8927 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
100% |
1957
363.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3924
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3392
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19941
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12744
14.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
17846
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (Q)
|
89% |
2141
171.4 IPS |
|
|
Face Detection (SP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (Q)
|
97% |
4779
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12471
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9526
73.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
9654
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37846
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25466
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32563
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8037
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6293
232.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5639
208.8 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
810
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2144
37.1 IPS |
|
|
Machine Translation (Q)
|
60% |
834
18.6 IPS |
