iPad16,5
Geekbench ML Score
9404
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 07:15 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4193
784.6 IPS |
|
|
Image Classification (F16)
|
100% |
8155
1.53 KIPS |
|
|
Image Classification (I8)
|
99% |
8641
1.62 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2017
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2367
39.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2413
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
27126
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
99601
120.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
101488
122.9 IPS |
|
|
Object Detection (F32)
|
100% |
3679
274.7 IPS |
|
|
Object Detection (F16)
|
100% |
5822
434.6 IPS |
|
|
Object Detection (I8)
|
97% |
3445
257.2 IPS |
|
|
Face Detection (F32)
|
100% |
11384
135.4 IPS |
|
|
Face Detection (F16)
|
97% |
14764
175.6 IPS |
|
|
Face Detection (I8)
|
96% |
14749
175.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19708
152.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
45965
356.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
43475
337.1 IPS |
|
|
Style Transfer (F32)
|
100% |
53779
70.7 IPS |
|
|
Style Transfer (F16)
|
100% |
154361
203.0 IPS |
|
|
Style Transfer (I8)
|
100% |
153501
201.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9048
323.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21401
764.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20916
747.0 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1423
2.05 KIPS |
|
|
Text Classification (I8)
|
96% |
1068
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1225
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
912
16.8 IPS |
