iPad16,3
Geekbench ML Score
8884
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 08:36 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 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% |
4154
777.3 IPS |
|
|
Image Classification (F16)
|
100% |
8224
1.54 KIPS |
|
|
Image Classification (I8)
|
99% |
9142
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1897
31.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2259
37.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2325
38.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
26624
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
100691
121.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
99489
120.5 IPS |
|
|
Object Detection (F32)
|
100% |
2780
207.6 IPS |
|
|
Object Detection (F16)
|
100% |
5976
446.2 IPS |
|
|
Object Detection (I8)
|
97% |
3076
229.6 IPS |
|
|
Face Detection (F32)
|
100% |
11266
134.0 IPS |
|
|
Face Detection (F16)
|
97% |
13526
160.8 IPS |
|
|
Face Detection (I8)
|
96% |
13637
162.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
19586
151.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
45498
352.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
45881
355.8 IPS |
|
|
Style Transfer (F32)
|
100% |
53719
70.7 IPS |
|
|
Style Transfer (F16)
|
100% |
152411
200.5 IPS |
|
|
Style Transfer (I8)
|
100% |
151450
199.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7614
271.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20504
732.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20907
746.7 IPS |
|
|
Text Classification (F32)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1504
2.16 KIPS |
|
|
Text Classification (I8)
|
96% |
1032
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1831
33.7 IPS |
|
|
Machine Translation (I8)
|
99% |
708
13.0 IPS |
