iPad (5th generation)
Geekbench ML Score
419
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 06 2025 05:55 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
201
37.7 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.1 IPS |
|
|
Image Classification (I8)
|
99% |
179
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
130
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
131
2.19 IPS |
|
|
Image Segmentation (I8)
|
100% |
128
2.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
1043
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1037
1.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1034
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
255
19.1 IPS |
|
|
Object Detection (F16)
|
100% |
263
19.7 IPS |
|
|
Object Detection (I8)
|
97% |
255
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
996
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
921
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
911
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1218
9.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
1207
9.36 IPS |
|
|
Depth Estimation (I8)
|
99% |
1217
9.44 IPS |
|
|
Style Transfer (F32)
|
100% |
2866
3.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2888
3.80 IPS |
|
|
Style Transfer (I8)
|
100% |
2858
3.76 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
686
24.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
696
24.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
706
25.2 IPS |
|
|
Text Classification (F32)
|
100% |
49
69.8 IPS |
|
|
Text Classification (F16)
|
100% |
102
146.1 IPS |
|
|
Text Classification (I8)
|
96% |
100
143.2 IPS |
|
|
Machine Translation (F32)
|
100% |
148
2.73 IPS |
|
|
Machine Translation (F16)
|
100% |
121
2.22 IPS |
|
|
Machine Translation (I8)
|
99% |
174
3.20 IPS |
