iPad Pro (11-inch)
Geekbench ML Score
1298
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 08:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
741
138.7 IPS |
|
|
Image Classification (F16)
|
100% |
928
173.7 IPS |
|
|
Image Classification (I8)
|
99% |
932
174.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
4.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
260
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2674
3.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
3814
4.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
3823
4.63 IPS |
|
|
Object Detection (F32)
|
100% |
851
63.5 IPS |
|
|
Object Detection (F16)
|
100% |
1095
81.8 IPS |
|
|
Object Detection (I8)
|
97% |
861
64.3 IPS |
|
|
Face Detection (F32)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (F16)
|
97% |
3611
42.9 IPS |
|
|
Face Detection (I8)
|
96% |
3657
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2946
22.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4291
33.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4212
32.7 IPS |
|
|
Style Transfer (F32)
|
24% |
7603
10.0 IPS |
|
|
Style Transfer (F16)
|
30% |
10942
14.4 IPS |
|
|
Style Transfer (I8)
|
30% |
10981
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1554
55.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2124
75.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1990
71.1 IPS |
|
|
Text Classification (F32)
|
100% |
204
292.6 IPS |
|
|
Text Classification (F16)
|
100% |
241
346.6 IPS |
|
|
Text Classification (I8)
|
96% |
263
377.7 IPS |
|
|
Machine Translation (F32)
|
100% |
360
6.63 IPS |
|
|
Machine Translation (F16)
|
100% |
351
6.46 IPS |
|
|
Machine Translation (I8)
|
99% |
361
6.64 IPS |
