iPad (5th generation)
Geekbench ML Score
231
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 02:47 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
135
25.2 IPS |
|
|
Image Classification (F16)
|
100% |
121
22.6 IPS |
|
|
Image Classification (I8)
|
99% |
121
22.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
99
1.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
101
1.68 IPS |
|
|
Image Segmentation (I8)
|
100% |
99
1.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
694
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
690
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
673
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
143
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
129
9.66 IPS |
|
|
Object Detection (I8)
|
97% |
146
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
247
2.94 IPS |
|
|
Face Detection (F16)
|
100% |
243
2.88 IPS |
|
|
Face Detection (I8)
|
99% |
241
2.87 IPS |
|
|
Depth Estimation (F32)
|
100% |
338
2.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
316
2.45 IPS |
|
|
Depth Estimation (I8)
|
99% |
315
2.44 IPS |
|
|
Style Transfer (F32)
|
100% |
968
1.27 IPS |
|
|
Style Transfer (F16)
|
100% |
962
1.27 IPS |
|
|
Style Transfer (I8)
|
100% |
944
1.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
296
10.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
296
10.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
291
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
121
173.4 IPS |
|
|
Text Classification (F16)
|
100% |
97
139.6 IPS |
|
|
Text Classification (I8)
|
96% |
95
137.1 IPS |
|
|
Machine Translation (F32)
|
100% |
165
3.04 IPS |
|
|
Machine Translation (F16)
|
100% |
143
2.62 IPS |
|
|
Machine Translation (I8)
|
99% |
175
3.22 IPS |
