iPad16,5
Geekbench ML Score
9449
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 06:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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% |
4177
781.6 IPS |
|
|
Image Classification (F16)
|
100% |
8083
1.51 KIPS |
|
|
Image Classification (I8)
|
99% |
8732
1.63 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2051
34.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2396
40.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2439
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
26997
32.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
99337
120.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
100646
121.9 IPS |
|
|
Object Detection (F32)
|
100% |
3507
261.8 IPS |
|
|
Object Detection (F16)
|
100% |
5814
434.0 IPS |
|
|
Object Detection (I8)
|
97% |
3372
251.8 IPS |
|
|
Face Detection (F32)
|
100% |
11566
137.5 IPS |
|
|
Face Detection (F16)
|
97% |
13695
162.8 IPS |
|
|
Face Detection (I8)
|
96% |
14756
175.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19776
153.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43204
335.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
60833
471.8 IPS |
|
|
Style Transfer (F32)
|
100% |
55714
73.3 IPS |
|
|
Style Transfer (F16)
|
100% |
154776
203.6 IPS |
|
|
Style Transfer (I8)
|
100% |
153157
201.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9406
335.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21994
785.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21502
767.9 IPS |
|
|
Text Classification (F32)
|
100% |
1318
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1466
2.11 KIPS |
|
|
Text Classification (I8)
|
96% |
1080
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1813
33.4 IPS |
|
|
Machine Translation (I8)
|
99% |
912
16.8 IPS |
