iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
2021
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 04 2024 06:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1014
189.7 IPS |
|
|
Image Classification (F16)
|
100% |
968
181.2 IPS |
|
|
Image Classification (I8)
|
99% |
969
181.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
610
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5802
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
10077
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
10074
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1070
79.9 IPS |
|
|
Object Detection (F16)
|
100% |
1090
81.4 IPS |
|
|
Object Detection (I8)
|
97% |
1085
81.0 IPS |
|
|
Face Detection (F32)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (F16)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (I8)
|
99% |
1763
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3560
27.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3887
30.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3878
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10795
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12462
16.4 IPS |
|
|
Style Transfer (I8)
|
100% |
12441
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2474
88.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2628
93.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2613
93.3 IPS |
|
|
Text Classification (F32)
|
100% |
930
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
451
648.5 IPS |
|
|
Text Classification (I8)
|
96% |
589
846.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1795
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1368
25.2 IPS |
