iPad16,3
Geekbench ML Score
4705
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:25 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1903
356.1 IPS |
|
|
Image Classification (F16)
|
100% |
2582
483.2 IPS |
|
|
Image Classification (I8)
|
99% |
2589
484.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1172
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1173
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9464
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17876
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17883
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1936
144.5 IPS |
|
|
Object Detection (F16)
|
100% |
2687
200.6 IPS |
|
|
Object Detection (I8)
|
97% |
1946
145.3 IPS |
|
|
Face Detection (F32)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (F16)
|
97% |
5689
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5690
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7597
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11303
87.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11329
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23543
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34851
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34923
45.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5813
207.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6840
244.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6833
244.0 IPS |
|
|
Text Classification (F32)
|
100% |
2720
3.91 KIPS |
|
|
Text Classification (F16)
|
100% |
4468
6.42 KIPS |
|
|
Text Classification (I8)
|
96% |
4467
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1884
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1624
29.9 IPS |
