iPhone 13 Pro Max
Geekbench ML Score
2021
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 03:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1183
221.4 IPS |
|
|
Image Classification (F16)
|
100% |
1028
192.4 IPS |
|
|
Image Classification (I8)
|
99% |
1030
192.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
513
8.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
476
7.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
474
7.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
5689
6.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
11312
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11326
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (F16)
|
100% |
1173
87.6 IPS |
|
|
Object Detection (I8)
|
97% |
1181
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (I8)
|
99% |
1747
20.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3831
29.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
4140
32.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4132
32.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10749
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12844
16.9 IPS |
|
|
Style Transfer (I8)
|
100% |
12860
16.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3272
116.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2777
99.2 IPS |
|
|
Text Classification (F32)
|
100% |
1190
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
784
1.13 KIPS |
|
|
Text Classification (I8)
|
96% |
777
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (F16)
|
99% |
951
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
841
15.5 IPS |
