HP HP EliteDesk 800 G5 TWR
Geekbench AI Score
165
Single Precision Score
117
Half Precision Score
133
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 27 2024 12:56 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | HP HP EliteDesk 800 G5 TWR |
| Motherboard | HP 8591 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
48
8.98 IPS |
|
|
Image Classification (Q)
|
99% |
36
6.79 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
96
1.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
553
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.00 IPS |
|
|
Object Detection (Q)
|
86% |
69
5.52 IPS |
|
|
Face Detection (SP)
|
100% |
241
2.87 IPS |
|
|
Face Detection (HP)
|
100% |
219
2.60 IPS |
|
|
Face Detection (Q)
|
97% |
222
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
92
0.71 IPS |
|
|
Depth Estimation (HP)
|
100% |
87
0.67 IPS |
|
|
Depth Estimation (Q)
|
74% |
240
1.95 IPS |
|
|
Style Transfer (SP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1216
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
115
4.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.98 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.9 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.2 IPS |
|
|
Text Classification (Q)
|
92% |
22
29.2 IPS |
|
|
Machine Translation (SP)
|
100% |
34
0.58 IPS |
|
|
Machine Translation (HP)
|
100% |
45
0.78 IPS |
|
|
Machine Translation (Q)
|
58% |
72
1.68 IPS |
