iPhone 14 Pro Max
Geekbench ML Score
3491
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 08 2024 04:46 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% |
1437
268.9 IPS |
|
|
Image Classification (F16)
|
100% |
1820
340.6 IPS |
|
|
Image Classification (I8)
|
99% |
1853
346.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
761
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
766
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
758
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6211
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
13930
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13859
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1436
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
1971
147.2 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
2705
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
4322
51.4 IPS |
|
|
Face Detection (I8)
|
97% |
4324
51.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5516
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8521
66.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8528
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17045
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26071
34.3 IPS |
|
|
Style Transfer (I8)
|
100% |
25908
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3999
142.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4941
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5193
185.5 IPS |
|
|
Text Classification (F32)
|
100% |
2361
3.39 KIPS |
|
|
Text Classification (F16)
|
100% |
3875
5.57 KIPS |
|
|
Text Classification (I8)
|
96% |
3926
5.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1220
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1519
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1187
21.9 IPS |
