iPhone 12 Pro Max
Geekbench ML Score
1661
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 07:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
929
173.9 IPS |
|
|
Image Classification (F16)
|
100% |
882
165.1 IPS |
|
|
Image Classification (I8)
|
99% |
886
165.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
6.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
355
5.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
351
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
4331
5.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
8820
10.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
8688
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
938
70.0 IPS |
|
|
Object Detection (F16)
|
100% |
956
71.4 IPS |
|
|
Object Detection (I8)
|
97% |
944
70.5 IPS |
|
|
Face Detection (F32)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (I8)
|
99% |
1476
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3274
25.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3642
28.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3605
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9094
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11097
14.6 IPS |
|
|
Style Transfer (I8)
|
100% |
10913
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2388
85.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2469
88.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2469
88.2 IPS |
|
|
Text Classification (F32)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
688
989.0 IPS |
|
|
Text Classification (I8)
|
96% |
691
993.6 IPS |
|
|
Machine Translation (F32)
|
100% |
678
12.5 IPS |
|
|
Machine Translation (F16)
|
99% |
773
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
655
12.1 IPS |
