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 | August 19 2024 08:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1493
279.4 IPS |
|
|
Image Classification (F16)
|
100% |
1881
352.0 IPS |
|
|
Image Classification (I8)
|
99% |
1878
351.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5922
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14014
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13742
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1454
108.6 IPS |
|
|
Object Detection (F16)
|
100% |
2002
149.4 IPS |
|
|
Object Detection (I8)
|
97% |
1460
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4352
51.7 IPS |
|
|
Face Detection (I8)
|
97% |
4342
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5344
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8618
66.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8638
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16953
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26353
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26310
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3716
132.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4897
174.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4923
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3262
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
2944
4.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1254
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1254
23.1 IPS |
