iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7276
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 06 2024 09:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2839
531.2 IPS |
|
|
Image Classification (F16)
|
100% |
6484
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
7025
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1580
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22555
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
82924
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
84687
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
2772
206.9 IPS |
|
|
Object Detection (F16)
|
100% |
3742
279.4 IPS |
|
|
Object Detection (I8)
|
97% |
1852
138.2 IPS |
|
|
Face Detection (F32)
|
100% |
9324
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
14165
168.4 IPS |
|
|
Face Detection (I8)
|
96% |
12878
153.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15833
122.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36938
286.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
37978
294.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40676
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
133944
176.2 IPS |
|
|
Style Transfer (I8)
|
100% |
133719
175.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9133
326.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14091
503.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18396
657.0 IPS |
|
|
Text Classification (F32)
|
100% |
1095
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
748
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
739
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
761
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2438
44.9 IPS |
|
|
Machine Translation (I8)
|
99% |
713
13.1 IPS |
