iPhone 12 Pro Max
Geekbench ML Score
2178
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 04:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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% |
6105
654.1 IPS |
|
|
Image Classification (F16)
|
100% |
5704
611.2 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1415
8.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
1469
9.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
783
4.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
17594
71.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
15723
63.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
6504
228.2 IPS |
|
|
Object Detection (F16)
|
100% |
4733
166.1 IPS |
|
|
Object Detection (I8)
|
52% |
677
23.8 IPS |
|
|
Face Detection (F32)
|
100% |
6924
79.6 IPS |
|
|
Face Detection (F16)
|
100% |
6222
71.5 IPS |
|
|
Face Detection (I8)
|
75% |
542
6.23 IPS |
|
|
Text Classification (F32)
|
100% |
1369
541.4 IPS |
|
|
Text Classification (F16)
|
100% |
1385
548.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1703
262.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1701
262.2 IPS |
