iPad (5th generation)
Geekbench ML Score
406
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 09 2025 10:36 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71tAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
192
35.8 IPS |
|
|
Image Classification (F16)
|
100% |
179
33.4 IPS |
|
|
Image Classification (I8)
|
99% |
175
32.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
135
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
132
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
1034
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1032
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1032
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
256
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
950
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
915
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
922
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1178
9.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
1173
9.10 IPS |
|
|
Depth Estimation (I8)
|
99% |
1160
8.99 IPS |
|
|
Style Transfer (F32)
|
100% |
2745
3.61 IPS |
|
|
Style Transfer (F16)
|
100% |
2745
3.61 IPS |
|
|
Style Transfer (I8)
|
100% |
2799
3.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
669
23.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
653
23.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
657
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
42
60.9 IPS |
|
|
Text Classification (F16)
|
100% |
85
122.9 IPS |
|
|
Text Classification (I8)
|
96% |
86
123.2 IPS |
|
|
Machine Translation (F32)
|
100% |
127
2.34 IPS |
|
|
Machine Translation (F16)
|
100% |
116
2.14 IPS |
|
|
Machine Translation (I8)
|
99% |
173
3.19 IPS |
