iPhone 12 Mini
Geekbench ML Score
1612
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 09:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1413
151.4 IPS |
|
|
Image Classification (F16)
|
100% |
1529
163.8 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4181
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5979
36.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1124
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
1678
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
4919
19.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
209
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
1662
58.3 IPS |
|
|
Object Detection (F16)
|
99% |
1801
63.2 IPS |
|
|
Object Detection (I8)
|
52% |
894
31.4 IPS |
|
|
Face Detection (F32)
|
100% |
4388
50.4 IPS |
|
|
Face Detection (F16)
|
97% |
5380
61.8 IPS |
|
|
Face Detection (I8)
|
75% |
811
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
840
332.4 IPS |
|
|
Text Classification (F16)
|
98% |
1062
420.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1693
260.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1687
260.0 IPS |
