iPad16,3
Geekbench ML Score
8806
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
4235
792.4 IPS |
|
|
Image Classification (F16)
|
100% |
8578
1.61 KIPS |
|
|
Image Classification (I8)
|
99% |
8899
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1817
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2315
38.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2298
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26327
31.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
99306
120.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
100343
121.5 IPS |
|
|
Object Detection (F32)
|
100% |
2454
183.2 IPS |
|
|
Object Detection (F16)
|
100% |
5402
403.3 IPS |
|
|
Object Detection (I8)
|
97% |
3189
238.1 IPS |
|
|
Face Detection (F32)
|
100% |
11377
135.3 IPS |
|
|
Face Detection (F16)
|
97% |
13695
162.8 IPS |
|
|
Face Detection (I8)
|
96% |
14254
169.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19400
150.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
42218
327.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
46595
361.3 IPS |
|
|
Style Transfer (F32)
|
100% |
54086
71.1 IPS |
|
|
Style Transfer (F16)
|
100% |
153803
202.3 IPS |
|
|
Style Transfer (I8)
|
100% |
155465
204.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7748
276.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20541
733.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20560
734.3 IPS |
|
|
Text Classification (F32)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1526
2.19 KIPS |
|
|
Text Classification (I8)
|
96% |
966
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
666
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1821
33.5 IPS |
|
|
Machine Translation (I8)
|
99% |
713
13.1 IPS |
