OnLogic HX500
Geekbench AI Score
1344
Single Precision Score
1994
Half Precision Score
1878
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 27 2024 04:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
856
159.2 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (Q)
|
100% |
1240
230.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1615
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1953
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
2084
2.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
2785
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
99% |
1307
104.0 IPS |
|
|
Object Detection (Q)
|
88% |
1221
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3484
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2486
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4204
32.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
3805
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
7654
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6826
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
71% |
616
890.7 IPS |
|
|
Text Classification (HP)
|
71% |
712
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
547
735.1 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
940
16.2 IPS |
