alps M2C-300
Geekbench AI Score
191
Single Precision Score
200
Half Precision Score
213
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 02:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | alps M2C-300 |
| Model ID | alps M2C-300 |
| Motherboard | an300t |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.2 IPS |
|
|
Image Classification (Q)
|
100% |
140
26.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
315
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.83 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (Q)
|
83% |
139
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
95% |
379
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
328
2.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
316
2.90 IPS |
|
|
Style Transfer (SP)
|
89% |
809
1.05 IPS |
|
|
Style Transfer (HP)
|
89% |
830
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
776
1.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.76 IPS |
|
|
Text Classification (SP)
|
100% |
97
128.9 IPS |
|
|
Text Classification (HP)
|
100% |
98
131.2 IPS |
|
|
Text Classification (Q)
|
88% |
120
162.0 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.90 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
50% |
81
2.88 IPS |
