iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3005
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1289
241.3 IPS |
|
|
Image Classification (F16)
|
100% |
1673
313.1 IPS |
|
|
Image Classification (I8)
|
99% |
1672
312.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
9.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
615
10.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
591
9.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5656
6.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
12941
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12947
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1260
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (I8)
|
97% |
1271
94.9 IPS |
|
|
Face Detection (F32)
|
100% |
2393
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
3994
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
4007
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5188
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8118
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8124
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15617
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24271
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
24272
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3503
125.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4800
171.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4594
164.1 IPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3427
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3409
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
861
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
725
13.3 IPS |
