iPad16,5
Geekbench ML Score
4669
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:20 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, 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1907
356.9 IPS |
|
|
Image Classification (F16)
|
100% |
2539
475.2 IPS |
|
|
Image Classification (I8)
|
99% |
2540
475.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1211
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1169
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9310
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
17940
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17950
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1914
142.9 IPS |
|
|
Object Detection (F16)
|
100% |
2602
194.3 IPS |
|
|
Object Detection (I8)
|
97% |
1911
142.6 IPS |
|
|
Face Detection (F32)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5591
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5573
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7566
58.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11136
86.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11131
86.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23536
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
34516
45.4 IPS |
|
|
Style Transfer (I8)
|
100% |
34641
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5850
208.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6792
242.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6805
243.0 IPS |
|
|
Text Classification (F32)
|
100% |
2752
3.96 KIPS |
|
|
Text Classification (F16)
|
100% |
4386
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4394
6.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1623
29.9 IPS |
