iPad16,6
Geekbench ML Score
4684
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:13 PM |
| Views | 20 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1883
352.3 IPS |
|
|
Image Classification (F16)
|
100% |
2548
476.8 IPS |
|
|
Image Classification (I8)
|
99% |
2544
476.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1184
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9546
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17995
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17973
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1914
142.9 IPS |
|
|
Object Detection (F16)
|
100% |
2639
197.0 IPS |
|
|
Object Detection (I8)
|
97% |
1916
143.0 IPS |
|
|
Face Detection (F32)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5592
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5593
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7538
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11183
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11210
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23483
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34727
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34703
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5954
212.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6815
243.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6807
243.1 IPS |
|
|
Text Classification (F32)
|
100% |
2770
3.98 KIPS |
|
|
Text Classification (F16)
|
100% |
4403
6.33 KIPS |
|
|
Text Classification (I8)
|
96% |
4381
6.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1869
34.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1624
29.9 IPS |
