MicroElectronics G228
Geekbench AI Score
2034
Single Precision Score
988
Half Precision Score
2552
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G228 |
| Motherboard | ASRock B460M Pro4/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
96% |
2679
500.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1340
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2713
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
6932
8.19 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
58% |
1678
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
4597
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4313
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1429
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6184
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8380
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6430
8.27 IPS |
|
|
Style Transfer (Q)
|
87% |
10260
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.7 IPS |
|
|
Text Classification (Q)
|
97% |
356
477.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1464
28.3 IPS |
