iPhone 14 Pro Max
Geekbench ML Score
3543
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:46 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% |
1441
269.7 IPS |
|
|
Image Classification (F16)
|
100% |
1868
349.5 IPS |
|
|
Image Classification (I8)
|
99% |
1877
351.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
763
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6350
7.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
14113
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14094
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1455
108.6 IPS |
|
|
Object Detection (F16)
|
100% |
1992
148.7 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4401
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4394
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5669
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8788
68.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8650
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17287
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26345
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26330
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4025
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4938
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4926
175.9 IPS |
|
|
Text Classification (F32)
|
100% |
2365
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3935
5.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3945
5.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1285
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1561
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
