iPad (5th generation)
Geekbench ML Score
245
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 14 2026 09:39 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
138
25.9 IPS |
|
|
Image Classification (F16)
|
100% |
123
23.0 IPS |
|
|
Image Classification (I8)
|
99% |
125
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
97
1.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
99
1.65 IPS |
|
|
Image Segmentation (I8)
|
100% |
98
1.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
730
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
730
0.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
723
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
150
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
136
10.1 IPS |
|
|
Object Detection (I8)
|
97% |
153
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
264
3.14 IPS |
|
|
Face Detection (F16)
|
100% |
261
3.10 IPS |
|
|
Face Detection (I8)
|
99% |
260
3.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
365
2.83 IPS |
|
|
Depth Estimation (F16)
|
100% |
342
2.65 IPS |
|
|
Depth Estimation (I8)
|
99% |
347
2.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1072
1.41 IPS |
|
|
Style Transfer (F16)
|
100% |
1088
1.43 IPS |
|
|
Style Transfer (I8)
|
100% |
1086
1.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
342
12.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
342
12.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
332
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
122
174.8 IPS |
|
|
Text Classification (F16)
|
100% |
96
137.8 IPS |
|
|
Text Classification (I8)
|
96% |
107
153.9 IPS |
|
|
Machine Translation (F32)
|
100% |
183
3.36 IPS |
|
|
Machine Translation (F16)
|
100% |
156
2.86 IPS |
|
|
Machine Translation (I8)
|
99% |
147
2.71 IPS |
