OnLogic HX500
Geekbench AI Score
828
Single Precision Score
714
Half Precision Score
661
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 27 2024 04:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
258
47.9 IPS |
|
|
Image Classification (Q)
|
100% |
330
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
451
7.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
2130
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3287
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
1920
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
99% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
338
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (Q)
|
97% |
733
8.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1361
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1283
9.91 IPS |
|
|
Depth Estimation (Q)
|
77% |
1152
9.22 IPS |
|
|
Style Transfer (SP)
|
100% |
5620
7.22 IPS |
|
|
Style Transfer (HP)
|
100% |
7772
9.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4686
6.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1171
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
779
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.7 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (Q)
|
97% |
238
318.3 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
96% |
277
4.80 IPS |
|
|
Machine Translation (Q)
|
70% |
226
4.24 IPS |
