iPad mini 4
Geekbench ML Score
156
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 04 2024 11:18 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad mini 4 |
| Model ID | iPad5,1 |
| Motherboard | J96AP |
| CPU Information | |
|---|---|
| Name | Apple A8 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.50 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 1.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
102
10.9 IPS |
|
|
Image Classification (I8)
|
81% |
205
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
1.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
1.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
361
2.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
58
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
65
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
156
5.48 IPS |
|
|
Object Detection (F16)
|
100% |
159
5.57 IPS |
|
|
Object Detection (I8)
|
52% |
258
9.05 IPS |
|
|
Face Detection (F32)
|
100% |
205
2.36 IPS |
|
|
Face Detection (F16)
|
100% |
200
2.30 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.95 IPS |
|
|
Text Classification (F32)
|
100% |
210
82.9 IPS |
|
|
Text Classification (F16)
|
100% |
209
82.7 IPS |
|
|
Machine Translation (F32)
|
100% |
153
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
160
24.6 IPS |
