iPad (5th generation)
Geekbench ML Score
414
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 02:16 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
188
35.2 IPS |
|
|
Image Classification (F16)
|
100% |
168
31.4 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1044
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1028
1.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
1028
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
248
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
261
19.5 IPS |
|
|
Object Detection (I8)
|
97% |
254
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
989
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
930
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
928
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1200
9.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
1207
9.36 IPS |
|
|
Depth Estimation (I8)
|
99% |
1170
9.07 IPS |
|
|
Style Transfer (F32)
|
100% |
2765
3.64 IPS |
|
|
Style Transfer (F16)
|
100% |
2771
3.64 IPS |
|
|
Style Transfer (I8)
|
100% |
2844
3.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
650
23.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
684
24.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
668
23.8 IPS |
|
|
Text Classification (F32)
|
100% |
47
67.1 IPS |
|
|
Text Classification (F16)
|
100% |
86
123.1 IPS |
|
|
Text Classification (I8)
|
96% |
86
123.2 IPS |
|
|
Machine Translation (F32)
|
100% |
171
3.14 IPS |
|
|
Machine Translation (F16)
|
100% |
143
2.63 IPS |
|
|
Machine Translation (I8)
|
99% |
178
3.27 IPS |
