[2018] SFF PC: IGEL UD3 [M340C] IGEL Technology GmbH M340C
Geekbench AI Score
174
Single Precision Score
102
Half Precision Score
243
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 06 2025 09:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD GX-424CC SOC with Radeon(TM) R5E Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | IGEL Technology GmbH M340C |
| Motherboard | IGEL Technology GmbH M340C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD GX-424CC SOC with Radeon(TM) R5E Graphics |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 22 Model 48 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
51
9.47 IPS |
|
|
Image Classification (Q)
|
96% |
195
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
237
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
359
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.40 IPS |
|
|
Object Detection (Q)
|
58% |
136
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
144
1.71 IPS |
|
|
Face Detection (Q)
|
96% |
369
4.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
153
1.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
384
3.06 IPS |
|
|
Style Transfer (SP)
|
100% |
597
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
469
0.60 IPS |
|
|
Style Transfer (Q)
|
87% |
676
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
94
3.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
170
6.31 IPS |
|
|
Text Classification (SP)
|
100% |
107
142.7 IPS |
|
|
Text Classification (HP)
|
100% |
62
82.8 IPS |
|
|
Text Classification (Q)
|
97% |
138
185.0 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.66 IPS |
|
|
Machine Translation (HP)
|
100% |
61
1.06 IPS |
|
|
Machine Translation (Q)
|
68% |
212
4.09 IPS |
