iPad Pro (11-inch, 4th generation)
Geekbench ML Score
3449
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:09 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% |
1472
275.5 IPS |
|
|
Image Classification (F16)
|
100% |
1847
345.7 IPS |
|
|
Image Classification (I8)
|
99% |
1858
347.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
789
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
782
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5916
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
14032
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14018
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
2003
149.5 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4361
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4362
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5346
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8559
66.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8555
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16953
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26430
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26379
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3821
136.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4934
176.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4856
173.4 IPS |
|
|
Text Classification (F32)
|
100% |
2119
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3240
4.66 KIPS |
|
|
Text Classification (I8)
|
96% |
2960
4.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1531
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1247
22.9 IPS |
