iPad16,5
Geekbench ML Score
4710
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 19 2024 03:08 AM |
| 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, 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% |
1934
361.9 IPS |
|
|
Image Classification (F16)
|
100% |
2577
482.3 IPS |
|
|
Image Classification (I8)
|
99% |
2578
482.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1198
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1189
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9488
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17992
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17951
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1940
144.8 IPS |
|
|
Object Detection (F16)
|
100% |
2679
200.0 IPS |
|
|
Object Detection (I8)
|
97% |
1940
144.9 IPS |
|
|
Face Detection (F32)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5677
67.5 IPS |
|
|
Face Detection (I8)
|
97% |
5667
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7598
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11306
87.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11321
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
23527
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34942
46.0 IPS |
|
|
Style Transfer (I8)
|
100% |
34970
46.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5796
207.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6818
243.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6816
243.4 IPS |
|
|
Text Classification (F32)
|
100% |
2739
3.94 KIPS |
|
|
Text Classification (F16)
|
100% |
4407
6.33 KIPS |
|
|
Text Classification (I8)
|
96% |
4379
6.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1645
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1627
29.9 IPS |
