iPad mini 4
Geekbench ML Score
284
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 24 2025 02:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
304
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
433
46.4 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
495
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
661
4.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
272
1.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
180
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
304
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
51
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
400
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
557
19.6 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.29 IPS |
|
|
Face Detection (F32)
|
100% |
501
5.75 IPS |
|
|
Face Detection (F16)
|
97% |
767
8.82 IPS |
|
|
Face Detection (I8)
|
75% |
202
2.32 IPS |
|
|
Text Classification (F32)
|
100% |
240
95.0 IPS |
|
|
Text Classification (F16)
|
98% |
304
120.1 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.7 IPS |
