iPhone 14 Pro Max
Geekbench ML Score
3527
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 03:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1427
267.1 IPS |
|
|
Image Classification (F16)
|
100% |
1868
349.6 IPS |
|
|
Image Classification (I8)
|
99% |
1866
349.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
767
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6064
7.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
14317
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14291
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1450
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1983
148.1 IPS |
|
|
Object Detection (I8)
|
97% |
1442
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4391
52.2 IPS |
|
|
Face Detection (I8)
|
97% |
4391
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5553
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8650
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8697
67.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17243
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26590
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26311
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4013
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5241
187.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4941
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
2369
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3925
5.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3940
5.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1225
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1186
21.8 IPS |
