iPad16,3
Geekbench ML Score
9396
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4205
786.9 IPS |
|
|
Image Classification (F16)
|
100% |
8271
1.55 KIPS |
|
|
Image Classification (I8)
|
99% |
8956
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2010
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2333
39.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2352
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
26934
32.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
99429
120.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
101391
122.8 IPS |
|
|
Object Detection (F32)
|
100% |
3322
248.0 IPS |
|
|
Object Detection (F16)
|
100% |
6096
455.1 IPS |
|
|
Object Detection (I8)
|
97% |
3335
249.0 IPS |
|
|
Face Detection (F32)
|
100% |
11426
135.9 IPS |
|
|
Face Detection (F16)
|
97% |
13813
164.2 IPS |
|
|
Face Detection (I8)
|
96% |
14725
175.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
19627
152.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
47029
364.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
51881
402.3 IPS |
|
|
Style Transfer (F32)
|
100% |
54480
71.7 IPS |
|
|
Style Transfer (F16)
|
100% |
156000
205.2 IPS |
|
|
Style Transfer (I8)
|
100% |
155201
204.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8513
304.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21269
759.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21364
763.0 IPS |
|
|
Text Classification (F32)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1430
2.06 KIPS |
|
|
Text Classification (I8)
|
96% |
1110
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1147
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1824
33.6 IPS |
|
|
Machine Translation (I8)
|
99% |
921
17.0 IPS |
