iPhone 15 Pro Max
Geekbench ML Score
3950
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 22 2024 08:32 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% |
1545
289.1 IPS |
|
|
Image Classification (F16)
|
100% |
2130
398.6 IPS |
|
|
Image Classification (I8)
|
99% |
2130
398.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
835
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7066
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
15265
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
15587
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1605
119.8 IPS |
|
|
Object Detection (F16)
|
100% |
2209
164.9 IPS |
|
|
Object Detection (I8)
|
97% |
1585
118.3 IPS |
|
|
Face Detection (F32)
|
100% |
2705
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
4598
54.7 IPS |
|
|
Face Detection (I8)
|
97% |
4602
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6303
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9656
74.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9643
74.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20147
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
29907
39.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30075
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5036
179.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6365
227.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6219
222.1 IPS |
|
|
Text Classification (F32)
|
100% |
2941
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4801
6.90 KIPS |
|
|
Text Classification (I8)
|
96% |
4825
6.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1255
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1531
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1246
22.9 IPS |
