iPad16,3
Geekbench ML Score
6806
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4171
780.6 IPS |
|
|
Image Classification (F16)
|
100% |
4460
834.6 IPS |
|
|
Image Classification (I8)
|
99% |
4117
770.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2078
34.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2326
38.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2291
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
26847
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28850
34.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
28116
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
3384
252.6 IPS |
|
|
Object Detection (F16)
|
100% |
3956
295.3 IPS |
|
|
Object Detection (I8)
|
97% |
3366
251.3 IPS |
|
|
Face Detection (F32)
|
100% |
11593
137.8 IPS |
|
|
Face Detection (F16)
|
98% |
14311
170.2 IPS |
|
|
Face Detection (I8)
|
97% |
13768
163.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
19674
152.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
22066
171.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
20036
155.4 IPS |
|
|
Style Transfer (F32)
|
100% |
56526
74.4 IPS |
|
|
Style Transfer (F16)
|
100% |
65868
86.6 IPS |
|
|
Style Transfer (I8)
|
100% |
64951
85.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9522
340.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8711
311.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9017
322.0 IPS |
|
|
Text Classification (F32)
|
100% |
1383
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1582
2.27 KIPS |
|
|
Text Classification (I8)
|
96% |
1241
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1131
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1157
21.3 IPS |
|
|
Machine Translation (I8)
|
99% |
916
16.9 IPS |
