iPhone 13 Pro Max
Geekbench ML Score
3267
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 06:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1399
261.8 IPS |
|
|
Image Classification (F16)
|
100% |
1740
325.6 IPS |
|
|
Image Classification (I8)
|
99% |
1748
327.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
756
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5789
7.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
13414
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13415
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
1825
136.2 IPS |
|
|
Object Detection (I8)
|
97% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (F16)
|
97% |
3944
46.9 IPS |
|
|
Face Detection (I8)
|
97% |
3954
47.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5017
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8101
62.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8096
62.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16121
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25093
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25132
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3725
133.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4793
171.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2179
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3128
4.50 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
