iPhone 12 Pro Max
Geekbench ML Score
2594
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1151
215.3 IPS |
|
|
Image Classification (F16)
|
100% |
1466
274.3 IPS |
|
|
Image Classification (I8)
|
99% |
1455
272.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
500
8.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
8.52 IPS |
|
|
Image Segmentation (I8)
|
100% |
502
8.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
4865
5.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
10680
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10718
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
1537
114.8 IPS |
|
|
Object Detection (I8)
|
97% |
1122
83.8 IPS |
|
|
Face Detection (F32)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (F16)
|
97% |
3485
41.4 IPS |
|
|
Face Detection (I8)
|
97% |
3494
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4523
35.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7138
55.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
7111
55.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13145
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21471
28.2 IPS |
|
|
Style Transfer (I8)
|
100% |
21522
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4277
152.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4101
146.5 IPS |
|
|
Text Classification (F32)
|
100% |
1935
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
2695
3.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2696
3.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
644
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
