iPad (6th generation)
Geekbench ML Score
304
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 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% |
184
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
165
30.8 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
115
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
116
1.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
116
1.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
911
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
898
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
911
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
187
14.0 IPS |
|
|
Object Detection (I8)
|
97% |
197
14.7 IPS |
|
|
Face Detection (F32)
|
100% |
370
4.40 IPS |
|
|
Face Detection (F16)
|
100% |
362
4.31 IPS |
|
|
Face Detection (I8)
|
99% |
364
4.33 IPS |
|
|
Depth Estimation (F32)
|
100% |
509
3.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
475
3.68 IPS |
|
|
Depth Estimation (I8)
|
99% |
472
3.66 IPS |
|
|
Style Transfer (F32)
|
100% |
1436
1.89 IPS |
|
|
Style Transfer (F16)
|
100% |
1436
1.89 IPS |
|
|
Style Transfer (I8)
|
100% |
1423
1.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
437
15.6 IPS |
|
|
Text Classification (F32)
|
100% |
158
227.0 IPS |
|
|
Text Classification (F16)
|
100% |
121
174.1 IPS |
|
|
Text Classification (I8)
|
96% |
132
190.1 IPS |
|
|
Machine Translation (F32)
|
100% |
140
2.57 IPS |
|
|
Machine Translation (F16)
|
100% |
131
2.41 IPS |
|
|
Machine Translation (I8)
|
99% |
137
2.52 IPS |
