[2018] SFF PC: IGEL UD3 [M340C] IGEL Technology GmbH M340C
Geekbench AI Score
175
Single Precision Score
175
Half Precision Score
328
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 06 2025 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
114
21.2 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
100% |
233
43.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
215
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
516
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.48 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.49 IPS |
|
|
Object Detection (Q)
|
87% |
229
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
469
5.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
81% |
591
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
427
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1448
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.80 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.4 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.8 IPS |
|
|
Text Classification (Q)
|
91% |
158
212.6 IPS |
|
|
Machine Translation (SP)
|
100% |
136
2.33 IPS |
|
|
Machine Translation (HP)
|
100% |
135
2.33 IPS |
|
|
Machine Translation (Q)
|
100% |
134
2.30 IPS |
