iPhone 11 Pro Max
Geekbench ML Score
1865
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
747
139.7 IPS |
|
|
Image Classification (F16)
|
100% |
1132
211.9 IPS |
|
|
Image Classification (I8)
|
99% |
1135
212.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
413
6.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
450
7.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
431
7.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
3567
4.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
6506
7.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
6501
7.87 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.4 IPS |
|
|
Object Detection (F16)
|
100% |
1164
86.9 IPS |
|
|
Object Detection (I8)
|
97% |
657
49.0 IPS |
|
|
Face Detection (F32)
|
100% |
1384
16.5 IPS |
|
|
Face Detection (F16)
|
97% |
2637
31.4 IPS |
|
|
Face Detection (I8)
|
97% |
2640
31.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2996
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4896
38.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4902
38.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7591
9.99 IPS |
|
|
Style Transfer (F16)
|
100% |
13338
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13337
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2154
76.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2732
97.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2734
97.6 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1838
2.64 KIPS |
|
|
Text Classification (I8)
|
96% |
1822
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
613
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
925
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
603
11.1 IPS |
