iPhone 14 Pro Max
Geekbench ML Score
3273
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:20 PM |
| 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% |
1440
269.5 IPS |
|
|
Image Classification (F16)
|
100% |
1662
311.0 IPS |
|
|
Image Classification (I8)
|
99% |
1851
346.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
757
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4989
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
13727
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11138
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1402
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
1966
146.8 IPS |
|
|
Object Detection (I8)
|
97% |
1145
85.5 IPS |
|
|
Face Detection (F32)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
4199
49.9 IPS |
|
|
Face Detection (I8)
|
97% |
4206
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5266
40.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8515
66.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8676
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16950
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26072
34.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25743
33.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3246
115.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4151
148.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4119
147.1 IPS |
|
|
Text Classification (F32)
|
100% |
1997
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3902
5.61 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1175
21.6 IPS |
