iPad16,6
Geekbench ML Score
6560
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 21 2024 09:59 PM |
| Views | 1 |
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 | 4.41 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4155
777.5 IPS |
|
|
Image Classification (F16)
|
100% |
4387
820.9 IPS |
|
|
Image Classification (I8)
|
99% |
4037
755.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2038
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2246
37.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2213
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
26821
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28890
35.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
28077
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
3314
247.4 IPS |
|
|
Object Detection (F16)
|
100% |
3895
290.8 IPS |
|
|
Object Detection (I8)
|
97% |
3420
255.3 IPS |
|
|
Face Detection (F32)
|
100% |
11320
134.6 IPS |
|
|
Face Detection (F16)
|
98% |
13949
165.9 IPS |
|
|
Face Detection (I8)
|
97% |
13594
161.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19541
151.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
21883
169.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
20273
157.2 IPS |
|
|
Style Transfer (F32)
|
100% |
55594
73.1 IPS |
|
|
Style Transfer (F16)
|
100% |
64973
85.5 IPS |
|
|
Style Transfer (I8)
|
100% |
64493
84.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8099
289.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8736
312.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7881
281.4 IPS |
|
|
Text Classification (F32)
|
100% |
1236
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1443
2.07 KIPS |
|
|
Text Classification (I8)
|
96% |
1136
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (I8)
|
99% |
896
16.5 IPS |
