iPad16,5
Geekbench ML Score
9619
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:49 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4635
867.4 IPS |
|
|
Image Classification (F16)
|
100% |
8937
1.67 KIPS |
|
|
Image Classification (I8)
|
99% |
9419
1.76 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1926
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2231
37.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2243
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
27479
33.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
94738
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
100623
121.8 IPS |
|
|
Object Detection (F32)
|
100% |
3723
277.9 IPS |
|
|
Object Detection (F16)
|
100% |
5415
404.2 IPS |
|
|
Object Detection (I8)
|
97% |
3468
258.9 IPS |
|
|
Face Detection (F32)
|
100% |
11500
136.7 IPS |
|
|
Face Detection (F16)
|
97% |
14579
173.4 IPS |
|
|
Face Detection (I8)
|
96% |
14892
177.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
20510
159.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
57974
449.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
54489
422.6 IPS |
|
|
Style Transfer (F32)
|
100% |
54152
71.2 IPS |
|
|
Style Transfer (F16)
|
100% |
154207
202.8 IPS |
|
|
Style Transfer (I8)
|
100% |
156354
205.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8499
303.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21692
774.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21285
760.1 IPS |
|
|
Text Classification (F32)
|
100% |
1545
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1683
2.42 KIPS |
|
|
Text Classification (I8)
|
96% |
1089
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1863
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
914
16.8 IPS |
