HP HP ProDesk 400 G5 Desktop Mini
Geekbench AI Score
1710
Single Precision Score
468
Half Precision Score
1855
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | September 19 2024 05:12 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9500T |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 400 G5 Desktop Mini |
| Motherboard | HP 859C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
86
15.9 IPS |
|
|
Image Classification (Q)
|
97% |
1574
293.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
1184
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
6133
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (Q)
|
86% |
1104
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (Q)
|
96% |
2154
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3433
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
548
4.22 IPS |
|
|
Depth Estimation (Q)
|
76% |
3330
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7811
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6382
8.20 IPS |
|
|
Style Transfer (Q)
|
87% |
8371
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1816
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.6 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
