iPad16,5
Geekbench ML Score
9442
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
4232
792.0 IPS |
|
|
Image Classification (F16)
|
100% |
8111
1.52 KIPS |
|
|
Image Classification (I8)
|
99% |
8767
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2062
34.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2436
40.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2431
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
27244
33.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
99060
120.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
101773
123.2 IPS |
|
|
Object Detection (F32)
|
100% |
3695
275.9 IPS |
|
|
Object Detection (F16)
|
100% |
5684
424.4 IPS |
|
|
Object Detection (I8)
|
97% |
3355
250.5 IPS |
|
|
Face Detection (F32)
|
100% |
11501
136.7 IPS |
|
|
Face Detection (F16)
|
97% |
13754
163.5 IPS |
|
|
Face Detection (I8)
|
96% |
14028
166.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
19925
154.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
45017
349.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
51247
397.4 IPS |
|
|
Style Transfer (F32)
|
100% |
54501
71.7 IPS |
|
|
Style Transfer (F16)
|
100% |
155052
204.0 IPS |
|
|
Style Transfer (I8)
|
100% |
157077
206.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9265
330.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21235
758.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21966
784.5 IPS |
|
|
Text Classification (F32)
|
100% |
1478
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1418
2.04 KIPS |
|
|
Text Classification (I8)
|
96% |
1075
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1131
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
912
16.8 IPS |
