iPhone 14 Pro Max
Geekbench ML Score
3484
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 11 2024 07:06 AM |
| 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% |
1393
260.7 IPS |
|
|
Image Classification (F16)
|
100% |
1835
343.4 IPS |
|
|
Image Classification (I8)
|
99% |
1858
347.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
750
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6356
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
13993
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13945
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (I8)
|
97% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (F16)
|
97% |
4353
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4329
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5525
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8510
66.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8540
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17242
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26155
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26455
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4072
145.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4985
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4931
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
2343
3.37 KIPS |
|
|
Text Classification (F16)
|
100% |
3887
5.59 KIPS |
|
|
Text Classification (I8)
|
96% |
3891
5.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1512
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1217
22.4 IPS |
