iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1846
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 03:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
882
165.1 IPS |
|
|
Image Classification (F16)
|
100% |
848
158.8 IPS |
|
|
Image Classification (I8)
|
99% |
845
158.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
567
9.47 IPS |
|
|
Image Segmentation (I8)
|
100% |
568
9.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
5582
6.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
9337
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9330
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
894
66.8 IPS |
|
|
Object Detection (F16)
|
100% |
968
72.3 IPS |
|
|
Object Detection (I8)
|
97% |
903
67.4 IPS |
|
|
Face Detection (F32)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (I8)
|
99% |
1585
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3298
25.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3595
27.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3572
27.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9916
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11488
15.1 IPS |
|
|
Style Transfer (I8)
|
100% |
11533
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2295
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2499
89.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2490
88.9 IPS |
|
|
Text Classification (F32)
|
100% |
887
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
427
613.3 IPS |
|
|
Text Classification (I8)
|
96% |
561
805.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1671
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
