iPad16,4
Geekbench ML Score
6568
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 04:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.15 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4060
759.7 IPS |
|
|
Image Classification (F16)
|
100% |
4393
822.1 IPS |
|
|
Image Classification (I8)
|
99% |
4152
777.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2005
33.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2224
37.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2181
36.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
26685
32.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
28493
34.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27589
33.4 IPS |
|
|
Object Detection (F32)
|
100% |
3402
254.0 IPS |
|
|
Object Detection (F16)
|
100% |
3922
292.8 IPS |
|
|
Object Detection (I8)
|
97% |
3156
235.7 IPS |
|
|
Face Detection (F32)
|
100% |
11078
131.7 IPS |
|
|
Face Detection (F16)
|
98% |
13705
163.0 IPS |
|
|
Face Detection (I8)
|
97% |
13452
159.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
19623
152.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
22301
172.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
20212
156.7 IPS |
|
|
Style Transfer (F32)
|
100% |
55032
72.4 IPS |
|
|
Style Transfer (F16)
|
100% |
65496
86.2 IPS |
|
|
Style Transfer (I8)
|
100% |
64758
85.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8973
320.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9538
340.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8487
303.1 IPS |
|
|
Text Classification (F32)
|
100% |
1489
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1818
2.61 KIPS |
|
|
Text Classification (I8)
|
96% |
529
759.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1122
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1006
18.5 IPS |
