iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6912
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1364
255.3 IPS |
|
|
Image Classification (F16)
|
100% |
5329
997.2 IPS |
|
|
Image Classification (I8)
|
99% |
6289
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3973
66.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
4024
67.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
12905
15.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
64449
78.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
65009
78.7 IPS |
|
|
Object Detection (F32)
|
100% |
1567
117.0 IPS |
|
|
Object Detection (F16)
|
100% |
3892
290.5 IPS |
|
|
Object Detection (I8)
|
97% |
1720
128.4 IPS |
|
|
Face Detection (F32)
|
100% |
6650
79.1 IPS |
|
|
Face Detection (F16)
|
97% |
11667
138.7 IPS |
|
|
Face Detection (I8)
|
96% |
11085
131.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12547
97.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
44116
342.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
44465
344.8 IPS |
|
|
Style Transfer (F32)
|
100% |
26047
34.3 IPS |
|
|
Style Transfer (F16)
|
100% |
116812
153.7 IPS |
|
|
Style Transfer (I8)
|
100% |
120360
158.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5022
179.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18191
649.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18198
649.9 IPS |
|
|
Text Classification (F32)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
2335
3.36 KIPS |
|
|
Text Classification (I8)
|
96% |
2278
3.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
563
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1831
33.7 IPS |
|
|
Machine Translation (I8)
|
99% |
597
11.0 IPS |
