iPad16,3
Geekbench ML Score
8954
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:02 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% |
4247
794.6 IPS |
|
|
Image Classification (F16)
|
100% |
8543
1.60 KIPS |
|
|
Image Classification (I8)
|
99% |
8835
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1843
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2306
38.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2242
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26799
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
99132
120.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
100299
121.5 IPS |
|
|
Object Detection (F32)
|
100% |
3541
264.3 IPS |
|
|
Object Detection (F16)
|
100% |
5600
418.1 IPS |
|
|
Object Detection (I8)
|
97% |
3293
245.9 IPS |
|
|
Face Detection (F32)
|
100% |
11233
133.6 IPS |
|
|
Face Detection (F16)
|
97% |
13579
161.5 IPS |
|
|
Face Detection (I8)
|
96% |
13624
162.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
19621
152.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
45449
352.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
45527
353.1 IPS |
|
|
Style Transfer (F32)
|
100% |
52388
68.9 IPS |
|
|
Style Transfer (F16)
|
100% |
154787
203.6 IPS |
|
|
Style Transfer (I8)
|
100% |
151824
199.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9055
323.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19893
710.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20746
740.9 IPS |
|
|
Text Classification (F32)
|
100% |
1486
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1437
2.06 KIPS |
|
|
Text Classification (I8)
|
96% |
1058
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
661
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1815
33.4 IPS |
|
|
Machine Translation (I8)
|
99% |
652
12.0 IPS |
