iPhone 15 Pro Max
Geekbench ML Score
4061
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 07:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1719
321.7 IPS |
|
|
Image Classification (F16)
|
100% |
2159
403.9 IPS |
|
|
Image Classification (I8)
|
99% |
2150
402.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
850
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7768
9.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
16376
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16370
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1659
123.8 IPS |
|
|
Object Detection (F16)
|
100% |
2249
167.9 IPS |
|
|
Object Detection (I8)
|
97% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
4843
57.6 IPS |
|
|
Face Detection (I8)
|
97% |
4873
57.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6400
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9745
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9726
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20569
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29968
39.4 IPS |
|
|
Style Transfer (I8)
|
100% |
29982
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5148
183.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5954
212.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5902
210.8 IPS |
|
|
Text Classification (F32)
|
100% |
2938
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4875
7.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4832
6.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1323
24.4 IPS |
