iPad Pro (11-inch, 4th generation)
Geekbench ML Score
3475
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 10:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1497
280.2 IPS |
|
|
Image Classification (F16)
|
100% |
1901
355.7 IPS |
|
|
Image Classification (I8)
|
99% |
1882
352.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
801
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5901
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14006
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14025
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
2000
149.3 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4359
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4364
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5334
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8589
66.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8595
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16955
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26464
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26470
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3749
133.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4865
173.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4912
175.4 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3280
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3306
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1264
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1535
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1260
23.2 IPS |
