iPad16,4
Geekbench ML Score
9516
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 04:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4186
783.3 IPS |
|
|
Image Classification (F16)
|
100% |
8562
1.60 KIPS |
|
|
Image Classification (I8)
|
99% |
9142
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1988
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2423
40.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2376
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
27133
32.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
99716
120.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
101722
123.2 IPS |
|
|
Object Detection (F32)
|
100% |
3721
277.8 IPS |
|
|
Object Detection (F16)
|
100% |
6157
459.7 IPS |
|
|
Object Detection (I8)
|
97% |
3424
255.6 IPS |
|
|
Face Detection (F32)
|
100% |
11585
137.7 IPS |
|
|
Face Detection (F16)
|
97% |
14787
175.8 IPS |
|
|
Face Detection (I8)
|
96% |
14965
177.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
20164
156.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
46804
363.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
45575
353.4 IPS |
|
|
Style Transfer (F32)
|
100% |
55602
73.1 IPS |
|
|
Style Transfer (F16)
|
100% |
148256
195.0 IPS |
|
|
Style Transfer (I8)
|
100% |
156557
205.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9406
335.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21329
761.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22010
786.0 IPS |
|
|
Text Classification (F32)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1503
2.16 KIPS |
|
|
Text Classification (I8)
|
96% |
1089
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1827
33.6 IPS |
|
|
Machine Translation (I8)
|
99% |
905
16.7 IPS |
