OnLogic HX500
Geekbench AI Score
2175
Single Precision Score
2192
Half Precision Score
3443
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 27 2024 04:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10300T CPU @ 3.00GHz |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (Q)
|
100% |
2215
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2533
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
5010
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.7 IPS |
|
|
Object Detection (HP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (Q)
|
87% |
2213
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
5579
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3319
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3401
26.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5741
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7393
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
7509
9.65 IPS |
|
|
Style Transfer (Q)
|
98% |
14359
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3067
113.6 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2346
40.4 IPS |
