iPad16,6
Geekbench ML Score
5298
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 09:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 15.07 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2022
378.4 IPS |
|
|
Image Classification (F16)
|
100% |
3303
618.0 IPS |
|
|
Image Classification (I8)
|
99% |
3335
624.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1752
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9649
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
18220
22.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18221
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
2090
156.0 IPS |
|
|
Object Detection (F16)
|
100% |
3205
239.3 IPS |
|
|
Object Detection (I8)
|
97% |
2086
155.8 IPS |
|
|
Face Detection (F32)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (F16)
|
97% |
7476
88.9 IPS |
|
|
Face Detection (I8)
|
97% |
7446
88.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8275
64.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14694
114.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
14746
114.4 IPS |
|
|
Style Transfer (F32)
|
100% |
24603
32.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37542
49.4 IPS |
|
|
Style Transfer (I8)
|
100% |
37472
49.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5924
211.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6883
245.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6909
246.7 IPS |
|
|
Text Classification (F32)
|
100% |
2689
3.86 KIPS |
|
|
Text Classification (F16)
|
100% |
4772
6.86 KIPS |
|
|
Text Classification (I8)
|
96% |
4773
6.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1690
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1986
36.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1661
30.6 IPS |
