iPad16,5
Geekbench ML Score
7430
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 | 1 |
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% |
4056
759.0 IPS |
|
|
Image Classification (F16)
|
100% |
8765
1.64 KIPS |
|
|
Image Classification (I8)
|
99% |
9796
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1791
29.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2266
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1833
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
25937
31.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
98506
119.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
101892
123.4 IPS |
|
|
Object Detection (F32)
|
100% |
3410
254.6 IPS |
|
|
Object Detection (F16)
|
100% |
5884
439.3 IPS |
|
|
Object Detection (I8)
|
97% |
3360
250.8 IPS |
|
|
Face Detection (F32)
|
100% |
11521
137.0 IPS |
|
|
Face Detection (F16)
|
97% |
14527
172.7 IPS |
|
|
Face Detection (I8)
|
96% |
14673
174.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19934
154.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
49101
380.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
51645
400.5 IPS |
|
|
Style Transfer (F32)
|
100% |
56490
74.3 IPS |
|
|
Style Transfer (F16)
|
100% |
152472
200.6 IPS |
|
|
Style Transfer (I8)
|
100% |
153377
201.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8703
310.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21844
780.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22182
792.2 IPS |
|
|
Text Classification (F32)
|
100% |
1392
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1459
2.10 KIPS |
|
|
Text Classification (I8)
|
96% |
1056
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1787
32.9 IPS |
|
|
Machine Translation (I8)
|
0
|
