iPad mini (5th generation)
Geekbench ML Score
1156
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 02 2024 08:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
183
34.2 IPS |
|
|
Image Classification (F16)
|
100% |
1993
372.9 IPS |
|
|
Image Classification (I8)
|
99% |
1999
374.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
170
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
257
4.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
256
4.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1525
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
23107
28.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23044
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
357
26.7 IPS |
|
|
Object Detection (F16)
|
100% |
381
28.4 IPS |
|
|
Object Detection (I8)
|
97% |
395
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (F16)
|
97% |
2156
25.6 IPS |
|
|
Face Detection (I8)
|
96% |
2192
26.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1719
13.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17369
134.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17576
136.3 IPS |
|
|
Style Transfer (F32)
|
24% |
4367
5.74 IPS |
|
|
Style Transfer (F16)
|
30% |
6075
7.99 IPS |
|
|
Style Transfer (I8)
|
30% |
6356
8.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
773
27.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3646
130.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3684
131.6 IPS |
|
|
Text Classification (F32)
|
100% |
179
257.5 IPS |
|
|
Text Classification (F16)
|
100% |
208
298.5 IPS |
|
|
Text Classification (I8)
|
96% |
210
301.7 IPS |
|
|
Machine Translation (F32)
|
100% |
156
2.86 IPS |
|
|
Machine Translation (F16)
|
100% |
155
2.85 IPS |
|
|
Machine Translation (I8)
|
99% |
155
2.85 IPS |
