iPhone 15 Pro Max
Geekbench ML Score
3988
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 07:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1714
320.8 IPS |
|
|
Image Classification (F16)
|
100% |
2146
401.5 IPS |
|
|
Image Classification (I8)
|
99% |
2156
403.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
831
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7244
8.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
15787
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15986
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1632
121.9 IPS |
|
|
Object Detection (F16)
|
100% |
2259
168.6 IPS |
|
|
Object Detection (I8)
|
97% |
1637
122.2 IPS |
|
|
Face Detection (F32)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4659
55.4 IPS |
|
|
Face Detection (I8)
|
97% |
4675
55.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6119
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9611
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9620
74.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20006
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30235
39.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30119
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5052
180.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6057
216.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6064
216.6 IPS |
|
|
Text Classification (F32)
|
100% |
2930
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4794
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4909
7.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1285
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1249
23.0 IPS |
