iPad (7th generation)
Geekbench ML Score
314
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 05 2024 12:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad (7th generation) |
| Model ID | iPad7,11 |
| Motherboard | J171AP |
| 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 | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
195
36.6 IPS |
|
|
Image Classification (F16)
|
100% |
175
32.8 IPS |
|
|
Image Classification (I8)
|
99% |
174
32.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
123
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
126
2.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
123
2.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
953
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
921
1.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
908
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
195
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
175
13.1 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
380
4.52 IPS |
|
|
Face Detection (F16)
|
100% |
376
4.47 IPS |
|
|
Face Detection (I8)
|
99% |
388
4.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
510
3.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
480
3.72 IPS |
|
|
Depth Estimation (I8)
|
99% |
472
3.66 IPS |
|
|
Style Transfer (F32)
|
100% |
1500
1.97 IPS |
|
|
Style Transfer (F16)
|
100% |
1442
1.90 IPS |
|
|
Style Transfer (I8)
|
100% |
1386
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
406
14.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
411
14.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
412
14.7 IPS |
|
|
Text Classification (F32)
|
100% |
135
194.5 IPS |
|
|
Text Classification (F16)
|
100% |
115
165.1 IPS |
|
|
Text Classification (I8)
|
96% |
115
164.6 IPS |
|
|
Machine Translation (F32)
|
100% |
193
3.55 IPS |
|
|
Machine Translation (F16)
|
100% |
171
3.14 IPS |
|
|
Machine Translation (I8)
|
99% |
194
3.57 IPS |
