iPad16,5
Geekbench ML Score
6835
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 21 2024 07:06 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, 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4316
807.6 IPS |
|
|
Image Classification (F16)
|
100% |
4529
847.5 IPS |
|
|
Image Classification (I8)
|
99% |
4227
791.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2032
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2202
36.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2226
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
27261
33.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
29092
35.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28307
34.3 IPS |
|
|
Object Detection (F32)
|
100% |
3804
284.0 IPS |
|
|
Object Detection (F16)
|
100% |
3969
296.3 IPS |
|
|
Object Detection (I8)
|
97% |
3486
260.2 IPS |
|
|
Face Detection (F32)
|
100% |
11756
139.8 IPS |
|
|
Face Detection (F16)
|
98% |
14598
173.6 IPS |
|
|
Face Detection (I8)
|
97% |
14098
167.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
20337
157.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
22484
174.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
20254
157.1 IPS |
|
|
Style Transfer (F32)
|
100% |
56757
74.7 IPS |
|
|
Style Transfer (F16)
|
100% |
65969
86.8 IPS |
|
|
Style Transfer (I8)
|
100% |
65141
85.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8282
295.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9364
334.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8183
292.3 IPS |
|
|
Text Classification (F32)
|
100% |
1532
2.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1546
2.22 KIPS |
|
|
Text Classification (I8)
|
96% |
1246
1.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
898
16.5 IPS |
