iPad16,3
Geekbench ML Score
8700
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:20 PM |
| Views | 1 |
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% |
4136
774.0 IPS |
|
|
Image Classification (F16)
|
100% |
8364
1.57 KIPS |
|
|
Image Classification (I8)
|
99% |
8969
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1750
29.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2263
37.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2263
37.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
26544
32.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
99412
120.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
100743
122.0 IPS |
|
|
Object Detection (F32)
|
100% |
2752
205.5 IPS |
|
|
Object Detection (F16)
|
100% |
5495
410.2 IPS |
|
|
Object Detection (I8)
|
97% |
3126
233.4 IPS |
|
|
Face Detection (F32)
|
100% |
11294
134.3 IPS |
|
|
Face Detection (F16)
|
97% |
13817
164.3 IPS |
|
|
Face Detection (I8)
|
96% |
13562
161.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16607
128.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
46395
359.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
44345
343.9 IPS |
|
|
Style Transfer (F32)
|
100% |
53857
70.8 IPS |
|
|
Style Transfer (F16)
|
100% |
145732
191.7 IPS |
|
|
Style Transfer (I8)
|
100% |
155310
204.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7244
258.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20449
730.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21665
773.7 IPS |
|
|
Text Classification (F32)
|
100% |
1343
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1172
1.68 KIPS |
|
|
Text Classification (I8)
|
96% |
1022
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
696
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1784
32.8 IPS |
|
|
Machine Translation (I8)
|
99% |
779
14.3 IPS |
