iPad16,6
Geekbench ML Score
6337
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 11 2024 07:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.44 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% |
4409
825.0 IPS |
|
|
Image Classification (F16)
|
100% |
4517
845.3 IPS |
|
|
Image Classification (I8)
|
99% |
4082
763.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1905
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2277
38.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2223
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
26871
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28904
35.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
28023
33.9 IPS |
|
|
Object Detection (F32)
|
100% |
2077
155.0 IPS |
|
|
Object Detection (F16)
|
100% |
2706
202.0 IPS |
|
|
Object Detection (I8)
|
97% |
2490
185.9 IPS |
|
|
Face Detection (F32)
|
100% |
11190
133.0 IPS |
|
|
Face Detection (F16)
|
98% |
9966
118.5 IPS |
|
|
Face Detection (I8)
|
97% |
13012
154.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
20585
159.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
23102
179.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
20901
162.1 IPS |
|
|
Style Transfer (F32)
|
100% |
55281
72.7 IPS |
|
|
Style Transfer (F16)
|
100% |
65149
85.7 IPS |
|
|
Style Transfer (I8)
|
100% |
65485
86.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10956
391.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10004
357.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11535
411.9 IPS |
|
|
Text Classification (F32)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1082
1.56 KIPS |
|
|
Text Classification (I8)
|
96% |
825
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1032
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
966
17.8 IPS |
