iPad16,5
Geekbench ML Score
4683
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 19 2024 03:26 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1899
355.4 IPS |
|
|
Image Classification (F16)
|
100% |
2557
478.5 IPS |
|
|
Image Classification (I8)
|
99% |
2558
478.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1200
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1179
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9507
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17930
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17935
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1921
143.4 IPS |
|
|
Object Detection (F16)
|
100% |
2665
199.0 IPS |
|
|
Object Detection (I8)
|
97% |
1929
144.0 IPS |
|
|
Face Detection (F32)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5632
67.0 IPS |
|
|
Face Detection (I8)
|
97% |
5614
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7578
58.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11211
86.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11192
86.8 IPS |
|
|
Style Transfer (F32)
|
100% |
23507
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34758
45.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34750
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5866
209.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6794
242.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6776
242.0 IPS |
|
|
Text Classification (F32)
|
100% |
2738
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4373
6.28 KIPS |
|
|
Text Classification (I8)
|
96% |
4409
6.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1863
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1618
29.8 IPS |
