HP HP ENVY All-in-One Desktop 34-c0xxx
Geekbench AI Score
5649
Single Precision Score
4487
Half Precision Score
4147
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 07:03 AM |
| Views | 17 |
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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
100% |
1967
365.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3408
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20004
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12907
15.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
17882
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (Q)
|
89% |
2163
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
5767
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
97% |
4782
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12553
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9547
73.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
9695
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37877
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25775
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32830
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5699
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
802
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2171
37.5 IPS |
|
|
Machine Translation (Q)
|
60% |
834
18.6 IPS |
