iPad16,5
Geekbench ML Score
4657
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 03:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 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% |
1889
353.6 IPS |
|
|
Image Classification (F16)
|
100% |
2524
472.2 IPS |
|
|
Image Classification (I8)
|
99% |
2519
471.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1176
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1136
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9487
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17950
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17878
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1884
140.6 IPS |
|
|
Object Detection (F16)
|
100% |
2562
191.2 IPS |
|
|
Object Detection (I8)
|
97% |
1888
140.9 IPS |
|
|
Face Detection (F32)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5545
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5537
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7498
58.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10975
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10991
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23251
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34115
44.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34158
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5897
210.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6967
248.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6955
248.4 IPS |
|
|
Text Classification (F32)
|
100% |
2825
4.06 KIPS |
|
|
Text Classification (F16)
|
100% |
4649
6.68 KIPS |
|
|
Text Classification (I8)
|
96% |
4652
6.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1852
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1608
29.6 IPS |
