iPad16,5
Geekbench ML Score
9574
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 25 2024 02:40 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
4186
783.3 IPS |
|
|
Image Classification (F16)
|
100% |
8147
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
8919
1.67 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2024
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2383
39.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2432
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
27081
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
99283
120.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
101805
123.3 IPS |
|
|
Object Detection (F32)
|
100% |
3717
277.5 IPS |
|
|
Object Detection (F16)
|
100% |
5893
439.9 IPS |
|
|
Object Detection (I8)
|
97% |
3411
254.7 IPS |
|
|
Face Detection (F32)
|
100% |
11590
137.8 IPS |
|
|
Face Detection (F16)
|
97% |
14346
170.6 IPS |
|
|
Face Detection (I8)
|
96% |
14152
168.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19974
154.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
51582
400.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
54435
422.1 IPS |
|
|
Style Transfer (F32)
|
100% |
54894
72.2 IPS |
|
|
Style Transfer (F16)
|
100% |
155342
204.3 IPS |
|
|
Style Transfer (I8)
|
100% |
154447
203.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9547
341.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21899
782.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22273
795.4 IPS |
|
|
Text Classification (F32)
|
100% |
1502
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1457
2.09 KIPS |
|
|
Text Classification (I8)
|
96% |
1057
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1165
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1855
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
919
16.9 IPS |
