iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
2161
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 19 2024 07:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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% |
1269
237.5 IPS |
|
|
Image Classification (F16)
|
100% |
1118
209.2 IPS |
|
|
Image Classification (I8)
|
99% |
1103
206.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
561
9.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (I8)
|
100% |
504
8.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
5791
7.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
12181
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12161
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1280
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
1248
93.2 IPS |
|
|
Object Detection (I8)
|
97% |
1276
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (F16)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (I8)
|
99% |
2017
24.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4127
32.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
4417
34.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4418
34.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11421
15.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13606
17.9 IPS |
|
|
Style Transfer (I8)
|
100% |
13588
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3232
115.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2926
104.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2934
104.8 IPS |
|
|
Text Classification (F32)
|
100% |
1127
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
759
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
919
16.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1062
19.6 IPS |
|
|
Machine Translation (I8)
|
99% |
919
16.9 IPS |
