iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6857
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | July 25 2024 12:50 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1604
300.2 IPS |
|
|
Image Classification (F16)
|
100% |
6131
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6327
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3970
66.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
3959
66.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16025
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
60540
73.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64240
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (F16)
|
100% |
3641
271.8 IPS |
|
|
Object Detection (I8)
|
97% |
1487
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
5877
69.9 IPS |
|
|
Face Detection (F16)
|
97% |
11715
139.3 IPS |
|
|
Face Detection (I8)
|
96% |
11657
138.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12039
93.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
38628
299.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
45407
352.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27712
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
112127
147.5 IPS |
|
|
Style Transfer (I8)
|
100% |
118416
155.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4918
175.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17776
634.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18014
643.3 IPS |
|
|
Text Classification (F32)
|
100% |
1163
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2192
3.15 KIPS |
|
|
Text Classification (I8)
|
96% |
2225
3.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
531
9.77 IPS |
|
|
Machine Translation (F16)
|
100% |
1728
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
535
9.85 IPS |
