iPad16,3
Geekbench ML Score
8708
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 08:34 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% |
4190
784.0 IPS |
|
|
Image Classification (F16)
|
100% |
8282
1.55 KIPS |
|
|
Image Classification (I8)
|
99% |
8987
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1748
29.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2304
38.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2198
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
25826
31.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
99870
120.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
101132
122.5 IPS |
|
|
Object Detection (F32)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (F16)
|
100% |
6070
453.1 IPS |
|
|
Object Detection (I8)
|
97% |
2958
220.8 IPS |
|
|
Face Detection (F32)
|
100% |
11373
135.2 IPS |
|
|
Face Detection (F16)
|
97% |
13816
164.3 IPS |
|
|
Face Detection (I8)
|
96% |
13675
162.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17313
134.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
44579
345.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
47784
370.6 IPS |
|
|
Style Transfer (F32)
|
100% |
52932
69.6 IPS |
|
|
Style Transfer (F16)
|
100% |
154430
203.1 IPS |
|
|
Style Transfer (I8)
|
100% |
153542
202.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7168
256.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20466
730.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20479
731.4 IPS |
|
|
Text Classification (F32)
|
100% |
1340
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1438
2.07 KIPS |
|
|
Text Classification (I8)
|
96% |
980
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
656
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1739
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
681
12.5 IPS |
