iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3426
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 08:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1468
274.7 IPS |
|
|
Image Classification (F16)
|
100% |
1853
346.8 IPS |
|
|
Image Classification (I8)
|
99% |
1854
346.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
805
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5895
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
13999
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13996
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
1975
147.4 IPS |
|
|
Object Detection (I8)
|
97% |
1476
110.2 IPS |
|
|
Face Detection (F32)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4355
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4359
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5334
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8577
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8567
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16943
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26344
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26416
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3751
134.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4877
174.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4843
173.0 IPS |
|
|
Text Classification (F32)
|
100% |
2045
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
2777
3.99 KIPS |
|
|
Text Classification (I8)
|
96% |
2838
4.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1538
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1256
23.1 IPS |
