HP HP ProDesk 400 G5 MT
Geekbench AI Score
2208
Single Precision Score
967
Half Precision Score
2573
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | santaclown |
| Upload Date | December 03 2024 10:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 400 G5 MT |
| Motherboard | HP 83F0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
2672
498.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
507
8.22 IPS |
|
|
Image Segmentation (Q)
|
97% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
7044
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
58% |
1761
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4737
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4860
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1294
9.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
6206
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8885
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7094
9.12 IPS |
|
|
Style Transfer (Q)
|
87% |
10486
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1958
72.5 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.3 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
68% |
1308
25.3 IPS |
