iPhone 13 Pro Max
Geekbench ML Score
2786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:30 PM |
| 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% |
1232
230.6 IPS |
|
|
Image Classification (F16)
|
100% |
1486
278.1 IPS |
|
|
Image Classification (I8)
|
99% |
2159
404.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1045
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4995
6.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
11862
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12016
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1278
95.4 IPS |
|
|
Object Detection (F16)
|
100% |
2252
168.1 IPS |
|
|
Object Detection (I8)
|
97% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (F16)
|
97% |
3279
39.0 IPS |
|
|
Face Detection (I8)
|
97% |
2847
33.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3480
27.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7356
57.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
6554
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9064
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17083
22.5 IPS |
|
|
Style Transfer (I8)
|
100% |
15337
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2290
81.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3019
107.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3066
109.5 IPS |
|
|
Text Classification (F32)
|
100% |
1907
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
3741
5.38 KIPS |
|
|
Text Classification (I8)
|
96% |
2867
4.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
929
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
715
13.2 IPS |
