iPhone 12 Pro Max
Geekbench ML Score
2669
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 22 2023 02:26 PM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6225
667.0 IPS |
|
|
Image Classification (F16)
|
100% |
6240
668.6 IPS |
|
|
Image Classification (I8)
|
81% |
639
68.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2093
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2109
13.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1147
7.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
19419
78.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
19228
77.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
7020
246.4 IPS |
|
|
Object Detection (F16)
|
100% |
6896
242.0 IPS |
|
|
Object Detection (I8)
|
52% |
888
31.2 IPS |
|
|
Face Detection (F32)
|
100% |
7774
89.3 IPS |
|
|
Face Detection (F16)
|
100% |
7813
89.8 IPS |
|
|
Face Detection (I8)
|
75% |
880
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1362
538.7 IPS |
|
|
Text Classification (F16)
|
100% |
1374
543.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1699
261.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1696
261.3 IPS |
