iPhone 13 Pro Max
Geekbench ML Score
1715
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 12:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
568
106.3 IPS |
|
|
Image Classification (F16)
|
100% |
1023
191.4 IPS |
|
|
Image Classification (I8)
|
99% |
1023
191.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
482
8.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
553
9.23 IPS |
|
|
Image Segmentation (I8)
|
100% |
554
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
2829
3.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
6069
7.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
6056
7.33 IPS |
|
|
Object Detection (F32)
|
100% |
592
44.2 IPS |
|
|
Object Detection (F16)
|
100% |
992
74.1 IPS |
|
|
Object Detection (I8)
|
97% |
592
44.2 IPS |
|
|
Face Detection (F32)
|
100% |
1536
18.3 IPS |
|
|
Face Detection (F16)
|
97% |
2488
29.6 IPS |
|
|
Face Detection (I8)
|
97% |
2520
30.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2428
18.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4729
36.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4757
36.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7657
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11701
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
11711
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1844
65.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2217
79.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2220
79.3 IPS |
|
|
Text Classification (F32)
|
100% |
1038
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1768
2.54 KIPS |
|
|
Text Classification (I8)
|
96% |
1779
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
562
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (I8)
|
99% |
562
10.3 IPS |
