iPhone 14 Pro Max
Geekbench ML Score
2693
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:57 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1166
218.2 IPS |
|
|
Image Classification (F16)
|
100% |
1173
219.5 IPS |
|
|
Image Classification (I8)
|
99% |
1440
269.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1211
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11375
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12079
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11931
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (F16)
|
100% |
1343
100.3 IPS |
|
|
Object Detection (I8)
|
97% |
1383
103.3 IPS |
|
|
Face Detection (F32)
|
100% |
4766
56.7 IPS |
|
|
Face Detection (F16)
|
98% |
5592
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5433
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8699
67.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9155
71.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
8556
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20938
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22971
30.2 IPS |
|
|
Style Transfer (I8)
|
100% |
23340
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4233
151.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4394
156.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4654
166.2 IPS |
|
|
Text Classification (F32)
|
100% |
359
516.4 IPS |
|
|
Text Classification (F16)
|
100% |
357
512.4 IPS |
|
|
Text Classification (I8)
|
96% |
239
343.6 IPS |
|
|
Machine Translation (F32)
|
100% |
603
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
584
10.8 IPS |
