iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1990
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
837
156.7 IPS |
|
|
Image Classification (F16)
|
100% |
1047
196.0 IPS |
|
|
Image Classification (I8)
|
99% |
1058
197.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
478
7.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
452
7.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
454
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
3686
4.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
8495
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8481
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
872
65.1 IPS |
|
|
Object Detection (F16)
|
100% |
1105
82.5 IPS |
|
|
Object Detection (I8)
|
97% |
849
63.4 IPS |
|
|
Face Detection (F32)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (F16)
|
97% |
2586
30.8 IPS |
|
|
Face Detection (I8)
|
97% |
2583
30.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3361
26.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5167
40.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
5100
39.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10314
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15785
20.8 IPS |
|
|
Style Transfer (I8)
|
100% |
15760
20.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2329
83.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3017
107.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2938
104.9 IPS |
|
|
Text Classification (F32)
|
100% |
1414
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2250
3.23 KIPS |
|
|
Text Classification (I8)
|
96% |
2251
3.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
478
8.79 IPS |
|
|
Machine Translation (F16)
|
100% |
543
9.99 IPS |
|
|
Machine Translation (I8)
|
99% |
477
8.78 IPS |
