iPhone 14 Pro Max
Geekbench ML Score
3549
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:15 PM |
| Views | 1 |
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% |
1435
268.5 IPS |
|
|
Image Classification (F16)
|
100% |
1852
346.6 IPS |
|
|
Image Classification (I8)
|
99% |
1874
350.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
771
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6313
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
14086
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14181
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1972
147.2 IPS |
|
|
Object Detection (I8)
|
97% |
1449
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
4390
52.2 IPS |
|
|
Face Detection (I8)
|
97% |
4387
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5581
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8647
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8656
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17577
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26937
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26393
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4062
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5295
189.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5384
192.3 IPS |
|
|
Text Classification (F32)
|
100% |
2387
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
3943
5.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3940
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1228
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1533
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1221
22.5 IPS |
