iPhone 14 Pro Max
Geekbench ML Score
3283
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 11 2024 07:16 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1375
257.4 IPS |
|
|
Image Classification (F16)
|
100% |
1851
346.4 IPS |
|
|
Image Classification (I8)
|
99% |
1837
343.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
774
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5658
6.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
13500
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13940
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (F16)
|
100% |
1987
148.4 IPS |
|
|
Object Detection (I8)
|
97% |
1444
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (F16)
|
97% |
4235
50.4 IPS |
|
|
Face Detection (I8)
|
97% |
4150
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4648
36.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8358
64.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
7956
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15565
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25154
33.1 IPS |
|
|
Style Transfer (I8)
|
100% |
25964
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3973
141.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5128
183.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5124
183.0 IPS |
|
|
Text Classification (F32)
|
100% |
2384
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
4044
5.81 KIPS |
|
|
Text Classification (I8)
|
96% |
4035
5.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
845
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
930
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
750
13.8 IPS |
