iPad mini (6th generation)
Geekbench ML Score
1957
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | poyrazkilic |
| Upload Date | June 10 2023 07:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 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 | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2626
281.3 IPS |
|
|
Image Classification (F16)
|
100% |
2524
270.4 IPS |
|
|
Image Classification (I8)
|
81% |
633
67.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5508
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6391
39.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1151
7.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
1881
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
4733
19.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
1848
64.9 IPS |
|
|
Object Detection (F16)
|
100% |
2555
89.7 IPS |
|
|
Object Detection (I8)
|
52% |
907
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
5122
58.8 IPS |
|
|
Face Detection (F16)
|
97% |
8718
100.2 IPS |
|
|
Face Detection (I8)
|
75% |
883
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1054
416.9 IPS |
|
|
Text Classification (F16)
|
100% |
1616
639.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1914
295.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1905
293.5 IPS |
