iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6327
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 04:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.36 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1124
210.4 IPS |
|
|
Image Classification (F16)
|
100% |
5971
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6264
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
841
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
854
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16494
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62194
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62581
75.8 IPS |
|
|
Object Detection (F32)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
3465
258.7 IPS |
|
|
Object Detection (I8)
|
97% |
1372
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (F16)
|
97% |
11833
140.7 IPS |
|
|
Face Detection (I8)
|
96% |
11762
139.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12035
93.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
39757
308.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
44182
342.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27844
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
111801
147.1 IPS |
|
|
Style Transfer (I8)
|
100% |
117220
154.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5116
182.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17252
616.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17871
638.2 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3585
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3579
5.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
475
8.74 IPS |
|
|
Machine Translation (F16)
|
100% |
1579
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
502
9.23 IPS |
