iPhone 15 Pro Max
Geekbench ML Score
4556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1641
307.2 IPS |
|
|
Image Classification (F16)
|
100% |
2889
540.5 IPS |
|
|
Image Classification (I8)
|
99% |
2896
541.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
957
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1252
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7986
9.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
16767
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16595
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1678
125.3 IPS |
|
|
Object Detection (F16)
|
100% |
2760
206.1 IPS |
|
|
Object Detection (I8)
|
97% |
1680
125.4 IPS |
|
|
Face Detection (F32)
|
100% |
3151
37.5 IPS |
|
|
Face Detection (F16)
|
97% |
6388
76.0 IPS |
|
|
Face Detection (I8)
|
97% |
6374
75.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7023
54.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13636
105.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
13604
105.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21436
28.2 IPS |
|
|
Style Transfer (F16)
|
100% |
32107
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
32554
42.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5501
196.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6154
219.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6106
218.1 IPS |
|
|
Text Classification (F32)
|
100% |
2933
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
5106
7.34 KIPS |
|
|
Text Classification (I8)
|
96% |
4988
7.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
