iPad16,5
Geekbench ML Score
9367
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 02:41 PM |
| 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% |
4364
816.7 IPS |
|
|
Image Classification (F16)
|
100% |
8458
1.58 KIPS |
|
|
Image Classification (I8)
|
99% |
8748
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2029
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2413
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2308
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
26967
32.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
99295
120.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
101808
123.3 IPS |
|
|
Object Detection (F32)
|
100% |
3416
255.0 IPS |
|
|
Object Detection (F16)
|
100% |
5818
434.4 IPS |
|
|
Object Detection (I8)
|
97% |
3370
251.6 IPS |
|
|
Face Detection (F32)
|
100% |
11603
138.0 IPS |
|
|
Face Detection (F16)
|
97% |
13894
165.2 IPS |
|
|
Face Detection (I8)
|
96% |
13764
163.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19828
153.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
42526
329.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
46871
363.5 IPS |
|
|
Style Transfer (F32)
|
100% |
56675
74.6 IPS |
|
|
Style Transfer (F16)
|
100% |
155079
204.0 IPS |
|
|
Style Transfer (I8)
|
100% |
154842
203.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9079
324.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21787
778.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21978
784.9 IPS |
|
|
Text Classification (F32)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1506
2.16 KIPS |
|
|
Text Classification (I8)
|
96% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1084
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1844
33.9 IPS |
|
|
Machine Translation (I8)
|
99% |
913
16.8 IPS |
