iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6894
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:31 PM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1604
300.1 IPS |
|
|
Image Classification (F16)
|
100% |
6158
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6381
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3952
66.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3936
65.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16099
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
62174
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64663
78.3 IPS |
|
|
Object Detection (F32)
|
100% |
1519
113.4 IPS |
|
|
Object Detection (F16)
|
100% |
3745
279.6 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
5882
69.9 IPS |
|
|
Face Detection (F16)
|
97% |
11693
139.0 IPS |
|
|
Face Detection (I8)
|
96% |
11636
138.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11957
92.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37735
292.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
45769
354.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27836
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
112729
148.3 IPS |
|
|
Style Transfer (I8)
|
100% |
118415
155.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5247
187.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18086
645.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18224
650.8 IPS |
|
|
Text Classification (F32)
|
100% |
1170
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2238
3.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2261
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
539
9.92 IPS |
|
|
Machine Translation (F16)
|
100% |
1736
31.9 IPS |
|
|
Machine Translation (I8)
|
99% |
546
10.1 IPS |
