OnLogic HX500
Geekbench AI Score
1657
Single Precision Score
832
Half Precision Score
1959
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 27 2024 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10300T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | OnLogic HX500 |
| Motherboard | OnLogic EXM50X |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10300T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
96% |
1897
354.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
4314
5.10 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1191
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
2234
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3506
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3292
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
4554
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5878
7.56 IPS |
|
|
Style Transfer (HP)
|
100% |
4583
5.89 IPS |
|
|
Style Transfer (Q)
|
87% |
7247
9.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1626
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
520
693.4 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1265
24.4 IPS |
