iPad16,4
Geekbench ML Score
6726
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 27 2024 07:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4190
784.0 IPS |
|
|
Image Classification (F16)
|
100% |
4489
840.1 IPS |
|
|
Image Classification (I8)
|
99% |
4127
772.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1999
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2269
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2207
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
26862
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28678
34.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27908
33.8 IPS |
|
|
Object Detection (F32)
|
100% |
3477
259.6 IPS |
|
|
Object Detection (F16)
|
100% |
3885
290.0 IPS |
|
|
Object Detection (I8)
|
97% |
3360
250.9 IPS |
|
|
Face Detection (F32)
|
100% |
11536
137.2 IPS |
|
|
Face Detection (F16)
|
98% |
14259
169.5 IPS |
|
|
Face Detection (I8)
|
97% |
13749
163.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19711
152.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
21860
169.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
20021
155.3 IPS |
|
|
Style Transfer (F32)
|
100% |
54433
71.6 IPS |
|
|
Style Transfer (F16)
|
100% |
65756
86.5 IPS |
|
|
Style Transfer (I8)
|
100% |
65005
85.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9614
343.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9830
351.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8661
309.3 IPS |
|
|
Text Classification (F32)
|
100% |
1439
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1427
2.05 KIPS |
|
|
Text Classification (I8)
|
96% |
1020
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1133
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1137
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
898
16.5 IPS |
