HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
1492
Single Precision Score
750
Half Precision Score
1765
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | renansoares |
| Upload Date | October 31 2024 06:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
96% |
1261
235.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
1253
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2138
2.49 IPS |
|
|
Pose Estimation (Q)
|
87% |
4512
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
925
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (Q)
|
96% |
2092
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2924
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
77% |
2515
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6313
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4798
6.17 IPS |
|
|
Style Transfer (Q)
|
87% |
7548
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1522
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.5 IPS |
|
|
Text Classification (Q)
|
97% |
730
978.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
60% |
1012
22.6 IPS |
