iPhone 14 Pro Max
Geekbench ML Score
2185
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 04:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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% |
1219
228.2 IPS |
|
|
Image Classification (F16)
|
100% |
1103
206.5 IPS |
|
|
Image Classification (I8)
|
99% |
1106
206.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
559
9.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
8.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
501
8.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
6282
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
12189
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12166
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1263
94.3 IPS |
|
|
Object Detection (F16)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (I8)
|
97% |
1266
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
1963
23.3 IPS |
|
|
Face Detection (I8)
|
99% |
1962
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4186
32.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
4421
34.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4483
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11579
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13475
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
13482
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3422
122.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3063
109.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3053
109.0 IPS |
|
|
Text Classification (F32)
|
100% |
1270
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
824
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
826
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
936
17.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1080
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
933
17.2 IPS |
