HP HP ENVY All-in-One Desktop 34-c0xxx
Geekbench AI Score
1934
Single Precision Score
960
Half Precision Score
3010
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:30 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700 |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
3459
645.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1997
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
14097
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (Q)
|
88% |
1579
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
2947
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3663
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.74 IPS |
|
|
Depth Estimation (Q)
|
77% |
5809
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7337
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6378
8.20 IPS |
|
|
Style Transfer (Q)
|
98% |
13398
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3170
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
646
861.6 IPS |
|
|
Text Classification (Q)
|
97% |
391
523.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (Q)
|
60% |
1397
31.2 IPS |
