Samsung 14 Pro Max
Geekbench ML Score
76
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 02:07 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Samsung 14 Pro Max |
| Model ID | Samsung 14 Pro Max |
| Motherboard | APPLE A15 |
| CPU Information | |
|---|---|
| Name | ARM MT6762V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
39
4.14 IPS |
|
|
Image Classification (F16)
|
100% |
39
4.13 IPS |
|
|
Image Classification (I8)
|
81% |
239
25.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
98
0.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
96
0.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
388
2.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
66
2.33 IPS |
|
|
Object Detection (F16)
|
100% |
65
2.27 IPS |
|
|
Object Detection (I8)
|
52% |
181
6.34 IPS |
|
|
Face Detection (F32)
|
100% |
103
1.18 IPS |
|
|
Face Detection (F16)
|
100% |
102
1.17 IPS |
|
|
Face Detection (I8)
|
75% |
360
4.14 IPS |
|
|
Text Classification (F32)
|
100% |
66
26.2 IPS |
|
|
Text Classification (F16)
|
100% |
66
26.0 IPS |
|
|
Machine Translation (F32)
|
100% |
10
1.59 IPS |
|
|
Machine Translation (F16)
|
100% |
11
1.74 IPS |
