iPad (5th generation)
Geekbench ML Score
243
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 02:04 PM |
| Views | 1 |
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% |
136
25.5 IPS |
|
|
Image Classification (F16)
|
100% |
120
22.5 IPS |
|
|
Image Classification (I8)
|
99% |
120
22.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
99
1.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
106
1.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
105
1.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
723
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
699
0.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
713
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
146
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
134
9.98 IPS |
|
|
Object Detection (I8)
|
97% |
148
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
260
3.10 IPS |
|
|
Face Detection (F16)
|
100% |
258
3.07 IPS |
|
|
Face Detection (I8)
|
99% |
258
3.07 IPS |
|
|
Depth Estimation (F32)
|
100% |
356
2.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
333
2.59 IPS |
|
|
Depth Estimation (I8)
|
99% |
339
2.63 IPS |
|
|
Style Transfer (F32)
|
100% |
1085
1.43 IPS |
|
|
Style Transfer (F16)
|
100% |
1077
1.42 IPS |
|
|
Style Transfer (I8)
|
100% |
1081
1.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
334
11.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
329
11.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
327
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
145
208.3 IPS |
|
|
Text Classification (F16)
|
100% |
116
166.1 IPS |
|
|
Text Classification (I8)
|
96% |
115
165.6 IPS |
|
|
Machine Translation (F32)
|
100% |
145
2.68 IPS |
|
|
Machine Translation (F16)
|
100% |
127
2.33 IPS |
|
|
Machine Translation (I8)
|
99% |
163
3.00 IPS |
