HP HP ENVY All-in-One Desktop 34-c0xxx
Geekbench AI Score
3750
Single Precision Score
3637
Half Precision Score
10056
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 07:01 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700 @ 2.50GHz |
| 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% |
2918
542.6 IPS |
|
|
Image Classification (HP)
|
100% |
2796
520.0 IPS |
|
|
Image Classification (Q)
|
100% |
7186
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5752
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5118
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4320
5.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
21048
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (Q)
|
88% |
7730
619.7 IPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
17608
209.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5666
43.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14080
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10839
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11970
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54744
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3002
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2671
98.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10323
382.3 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2780
47.9 IPS |
