iPad16,5
Geekbench ML Score
4719
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 09:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1922
359.7 IPS |
|
|
Image Classification (F16)
|
100% |
2566
480.1 IPS |
|
|
Image Classification (I8)
|
99% |
2561
479.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1210
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1182
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9471
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17968
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17967
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1955
146.0 IPS |
|
|
Object Detection (F16)
|
100% |
2654
198.1 IPS |
|
|
Object Detection (I8)
|
97% |
1948
145.4 IPS |
|
|
Face Detection (F32)
|
100% |
3606
42.9 IPS |
|
|
Face Detection (F16)
|
97% |
5698
67.7 IPS |
|
|
Face Detection (I8)
|
97% |
5683
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7646
59.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11410
88.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11345
88.0 IPS |
|
|
Style Transfer (F32)
|
100% |
23568
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34802
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34861
45.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5813
207.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6877
245.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6799
242.8 IPS |
|
|
Text Classification (F32)
|
100% |
2766
3.98 KIPS |
|
|
Text Classification (F16)
|
100% |
4398
6.32 KIPS |
|
|
Text Classification (I8)
|
96% |
4404
6.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1632
30.0 IPS |
