iPhone 14 Pro Max
Geekbench ML Score
857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 11:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
71.5 IPS |
|
|
Image Classification (F16)
|
100% |
397
74.4 IPS |
|
|
Image Classification (I8)
|
99% |
396
74.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
294
4.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
255
4.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
254
4.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
2369
2.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
4332
5.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
4327
5.24 IPS |
|
|
Object Detection (F32)
|
100% |
429
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
444
33.1 IPS |
|
|
Object Detection (I8)
|
97% |
442
33.0 IPS |
|
|
Face Detection (F32)
|
100% |
871
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
743
8.84 IPS |
|
|
Face Detection (I8)
|
99% |
736
8.76 IPS |
|
|
Depth Estimation (F32)
|
100% |
1442
11.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
1610
12.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
1615
12.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4494
5.91 IPS |
|
|
Style Transfer (F16)
|
100% |
5305
6.98 IPS |
|
|
Style Transfer (I8)
|
100% |
5310
6.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1023
36.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1149
41.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1151
41.1 IPS |
|
|
Text Classification (F32)
|
100% |
478
687.7 IPS |
|
|
Text Classification (F16)
|
100% |
237
341.3 IPS |
|
|
Text Classification (I8)
|
96% |
279
400.9 IPS |
|
|
Machine Translation (F32)
|
100% |
562
10.3 IPS |
|
|
Machine Translation (F16)
|
99% |
769
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
564
10.4 IPS |
