iPhone 12 Pro Max
Geekbench ML Score
2520
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 21 2022 07:39 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5851
626.9 IPS |
|
|
Image Classification (F16)
|
100% |
6089
652.4 IPS |
|
|
Image Classification (I8)
|
81% |
640
68.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1787
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1851
11.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1171
7.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
19714
79.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
18336
74.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
214
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
6676
234.3 IPS |
|
|
Object Detection (F16)
|
100% |
6600
231.6 IPS |
|
|
Object Detection (I8)
|
52% |
895
31.4 IPS |
|
|
Face Detection (F32)
|
100% |
7496
86.1 IPS |
|
|
Face Detection (F16)
|
100% |
7501
86.2 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1093
432.4 IPS |
|
|
Text Classification (F16)
|
100% |
1097
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1649
254.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1648
253.9 IPS |
