iPad16,3
Geekbench ML Score
4716
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 11:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1930
361.2 IPS |
|
|
Image Classification (F16)
|
100% |
2580
482.9 IPS |
|
|
Image Classification (I8)
|
99% |
2585
483.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1202
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1196
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9497
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17943
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17929
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1943
145.0 IPS |
|
|
Object Detection (F16)
|
100% |
2655
198.2 IPS |
|
|
Object Detection (I8)
|
97% |
1932
144.3 IPS |
|
|
Face Detection (F32)
|
100% |
3572
42.5 IPS |
|
|
Face Detection (F16)
|
97% |
5684
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5677
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7605
59.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11320
87.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11361
88.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23455
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34705
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34720
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5798
207.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6790
242.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6805
243.0 IPS |
|
|
Text Classification (F32)
|
100% |
2714
3.90 KIPS |
|
|
Text Classification (F16)
|
100% |
4480
6.44 KIPS |
|
|
Text Classification (I8)
|
96% |
4460
6.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1655
30.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1888
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1621
29.8 IPS |
