iPad16,4
Geekbench ML Score
4709
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2024 01:35 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1912
357.8 IPS |
|
|
Image Classification (F16)
|
100% |
2593
485.3 IPS |
|
|
Image Classification (I8)
|
99% |
2572
481.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1185
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9483
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17937
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17959
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1952
145.7 IPS |
|
|
Object Detection (F16)
|
100% |
2671
199.4 IPS |
|
|
Object Detection (I8)
|
97% |
1954
145.8 IPS |
|
|
Face Detection (F32)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5677
67.5 IPS |
|
|
Face Detection (I8)
|
97% |
5670
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7600
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11313
87.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11238
87.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23529
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34840
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34909
45.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5797
207.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6815
243.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6820
243.6 IPS |
|
|
Text Classification (F32)
|
100% |
2700
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4496
6.46 KIPS |
|
|
Text Classification (I8)
|
96% |
4462
6.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1652
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1892
34.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1623
29.9 IPS |
