iPhone 14 Pro Max
Geekbench ML Score
3596
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 08:08 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% |
1454
272.1 IPS |
|
|
Image Classification (F16)
|
100% |
1883
352.4 IPS |
|
|
Image Classification (I8)
|
99% |
1896
354.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
805
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
814
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
815
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6120
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14234
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14205
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (F16)
|
100% |
2020
150.8 IPS |
|
|
Object Detection (I8)
|
97% |
1470
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4425
52.6 IPS |
|
|
Face Detection (I8)
|
97% |
4427
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5602
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8694
67.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8688
67.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17617
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26908
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26915
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4087
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5310
189.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5328
190.3 IPS |
|
|
Text Classification (F32)
|
100% |
2420
3.48 KIPS |
|
|
Text Classification (F16)
|
100% |
4047
5.82 KIPS |
|
|
Text Classification (I8)
|
96% |
4084
5.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1296
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1520
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
