iPhone 14 Pro Max
Geekbench ML Score
3524
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1443
270.0 IPS |
|
|
Image Classification (F16)
|
100% |
1858
347.6 IPS |
|
|
Image Classification (I8)
|
99% |
1868
349.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
775
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6000
7.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
14218
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14225
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
1987
148.4 IPS |
|
|
Object Detection (I8)
|
97% |
1445
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
4370
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4402
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5479
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8683
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8643
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17196
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26415
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26611
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4023
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5096
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5005
178.8 IPS |
|
|
Text Classification (F32)
|
100% |
2411
3.47 KIPS |
|
|
Text Classification (F16)
|
100% |
3942
5.67 KIPS |
|
|
Text Classification (I8)
|
96% |
4000
5.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1506
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1196
22.0 IPS |
