iPad16,6
Geekbench ML Score
9415
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:24 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 | 4.41 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4200
785.9 IPS |
|
|
Image Classification (F16)
|
100% |
8247
1.54 KIPS |
|
|
Image Classification (I8)
|
99% |
8821
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1993
33.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2442
40.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2407
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
26853
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
99415
120.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
101545
123.0 IPS |
|
|
Object Detection (F32)
|
100% |
3205
239.3 IPS |
|
|
Object Detection (F16)
|
100% |
5920
442.0 IPS |
|
|
Object Detection (I8)
|
97% |
3357
250.6 IPS |
|
|
Face Detection (F32)
|
100% |
11356
135.0 IPS |
|
|
Face Detection (F16)
|
97% |
14676
174.5 IPS |
|
|
Face Detection (I8)
|
96% |
14947
177.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19565
151.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
50111
388.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
51734
401.2 IPS |
|
|
Style Transfer (F32)
|
100% |
54903
72.2 IPS |
|
|
Style Transfer (F16)
|
100% |
154287
203.0 IPS |
|
|
Style Transfer (I8)
|
100% |
155611
204.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8206
293.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21783
778.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22173
791.9 IPS |
|
|
Text Classification (F32)
|
100% |
1433
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1379
1.98 KIPS |
|
|
Text Classification (I8)
|
96% |
1058
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1831
33.7 IPS |
|
|
Machine Translation (I8)
|
99% |
902
16.6 IPS |
