iPhone 14 Pro Max
Geekbench ML Score
2679
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 11:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1223
228.8 IPS |
|
|
Image Classification (F16)
|
100% |
1014
189.8 IPS |
|
|
Image Classification (I8)
|
99% |
1472
275.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
935
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1043
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11151
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
12206
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11951
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1368
102.1 IPS |
|
|
Object Detection (F16)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (I8)
|
97% |
1387
103.6 IPS |
|
|
Face Detection (F32)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (F16)
|
97% |
5471
65.1 IPS |
|
|
Face Detection (I8)
|
96% |
5299
63.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8351
64.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9219
71.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
8536
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20062
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23653
31.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23455
30.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4457
159.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4818
172.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4240
151.4 IPS |
|
|
Text Classification (F32)
|
100% |
386
554.9 IPS |
|
|
Text Classification (F16)
|
100% |
382
549.5 IPS |
|
|
Text Classification (I8)
|
96% |
251
361.0 IPS |
|
|
Machine Translation (F32)
|
100% |
628
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
581
10.7 IPS |
