iPhone 14 Pro Max
Geekbench ML Score
3521
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 08 2024 04:41 AM |
| Views | 1 |
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% |
1437
269.0 IPS |
|
|
Image Classification (F16)
|
100% |
1880
351.8 IPS |
|
|
Image Classification (I8)
|
99% |
1862
348.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
761
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
767
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
780
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6318
7.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
14082
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14066
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
1975
147.5 IPS |
|
|
Object Detection (I8)
|
97% |
1447
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (F16)
|
97% |
4354
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4336
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5514
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8681
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8523
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17149
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26026
34.2 IPS |
|
|
Style Transfer (I8)
|
100% |
26633
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4041
144.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4994
178.4 IPS |
|
|
Text Classification (F32)
|
100% |
2381
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3955
5.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3986
5.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1226
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1221
22.5 IPS |
