iPad16,6
Geekbench ML Score
6756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:15 PM |
| Views | 42 |
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 | 4.40 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4154
777.3 IPS |
|
|
Image Classification (F16)
|
100% |
4454
833.5 IPS |
|
|
Image Classification (I8)
|
99% |
4067
761.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2004
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2234
37.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2219
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
27115
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
28861
34.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
28045
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
3648
272.4 IPS |
|
|
Object Detection (F16)
|
100% |
3929
293.3 IPS |
|
|
Object Detection (I8)
|
97% |
3407
254.4 IPS |
|
|
Face Detection (F32)
|
100% |
11412
135.7 IPS |
|
|
Face Detection (F16)
|
98% |
14144
168.2 IPS |
|
|
Face Detection (I8)
|
97% |
13696
162.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
19716
152.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
22186
172.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
19999
155.1 IPS |
|
|
Style Transfer (F32)
|
100% |
55342
72.8 IPS |
|
|
Style Transfer (F16)
|
100% |
65225
85.8 IPS |
|
|
Style Transfer (I8)
|
100% |
64735
85.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9088
324.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8956
319.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8019
286.4 IPS |
|
|
Text Classification (F32)
|
100% |
1515
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1606
2.31 KIPS |
|
|
Text Classification (I8)
|
96% |
1221
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
905
16.7 IPS |
