iPad16,6
Geekbench ML Score
9448
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:25 AM |
| 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 | 4.38 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4197
785.4 IPS |
|
|
Image Classification (F16)
|
100% |
8136
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
8826
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2023
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2413
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2383
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
27114
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
99348
120.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
101156
122.5 IPS |
|
|
Object Detection (F32)
|
100% |
3679
274.7 IPS |
|
|
Object Detection (F16)
|
100% |
6131
457.7 IPS |
|
|
Object Detection (I8)
|
97% |
3379
252.2 IPS |
|
|
Face Detection (F32)
|
100% |
11324
134.6 IPS |
|
|
Face Detection (F16)
|
97% |
14091
167.5 IPS |
|
|
Face Detection (I8)
|
96% |
14160
168.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19707
152.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
46105
357.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
54759
424.7 IPS |
|
|
Style Transfer (F32)
|
100% |
55181
72.6 IPS |
|
|
Style Transfer (F16)
|
100% |
154486
203.2 IPS |
|
|
Style Transfer (I8)
|
100% |
155548
204.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9220
329.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19518
697.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21856
780.5 IPS |
|
|
Text Classification (F32)
|
100% |
1496
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1434
2.06 KIPS |
|
|
Text Classification (I8)
|
96% |
1057
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1829
33.7 IPS |
|
|
Machine Translation (I8)
|
99% |
910
16.8 IPS |
