HP HP ENVY All-in-One Desktop 34-c0xxx
Geekbench AI Score
1882
Single Precision Score
967
Half Precision Score
2890
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sampatel |
| Upload Date | November 16 2024 06:50 AM |
| Views | 21 |
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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.4 IPS |
|
|
Image Classification (Q)
|
99% |
3504
653.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1989
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2989
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
14857
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.6 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
88% |
1572
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
2963
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3578
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
77% |
5765
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7385
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
6160
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13589
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.4 IPS |
|
|
Text Classification (Q)
|
97% |
311
417.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1123
25.1 IPS |
