iPhone 14 Pro Max
Geekbench ML Score
3208
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 08 2024 04:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
728
136.2 IPS |
|
|
Image Classification (F16)
|
100% |
1826
341.8 IPS |
|
|
Image Classification (I8)
|
99% |
1829
342.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
722
12.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
770
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6119
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14108
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14049
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (F16)
|
100% |
2026
151.3 IPS |
|
|
Object Detection (I8)
|
97% |
1441
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (F16)
|
97% |
4220
50.2 IPS |
|
|
Face Detection (I8)
|
97% |
4207
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5099
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7789
60.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8519
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15561
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25869
34.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25578
33.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3917
139.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5034
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5095
182.0 IPS |
|
|
Text Classification (F32)
|
100% |
2375
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3959
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3940
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
845
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
847
15.6 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.4 IPS |
