iPad Pro (11-inch, 4th generation)
Geekbench ML Score
3440
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:30 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% |
1477
276.3 IPS |
|
|
Image Classification (F16)
|
100% |
1861
348.3 IPS |
|
|
Image Classification (I8)
|
99% |
1862
348.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
781
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5905
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
13996
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13999
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1987
148.4 IPS |
|
|
Object Detection (I8)
|
97% |
1466
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
2848
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4347
51.7 IPS |
|
|
Face Detection (I8)
|
97% |
4356
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5348
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8601
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8564
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16958
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26327
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26425
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3743
133.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4966
177.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4983
178.0 IPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
2949
4.24 KIPS |
|
|
Text Classification (I8)
|
96% |
2983
4.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
