HP HP EliteDesk 800 G5 Desktop Mini
Geekbench AI Score
870
Single Precision Score
488
Half Precision Score
1205
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | moath_alomari |
| Upload Date | November 06 2024 07:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G5 Desktop Mini |
| Motherboard | HP 8594 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700T |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
96% |
935
174.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1100
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1591
1.86 IPS |
|
|
Pose Estimation (Q)
|
87% |
3770
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
86% |
436
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
96% |
1212
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1199
9.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
527
4.06 IPS |
|
|
Depth Estimation (Q)
|
77% |
1707
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5069
6.52 IPS |
|
|
Style Transfer (Q)
|
87% |
4835
6.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
992
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (HP)
|
100% |
253
338.1 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.4 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1108
24.7 IPS |
