iPhone 11 Pro Max
Geekbench ML Score
272
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
175
18.7 IPS |
|
|
Image Classification (F16)
|
100% |
154
16.5 IPS |
|
|
Image Classification (I8)
|
81% |
129
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
260
1.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
592
3.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
74
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
262
9.18 IPS |
|
|
Object Detection (F16)
|
100% |
269
9.45 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.13 IPS |
|
|
Face Detection (F32)
|
100% |
279
3.21 IPS |
|
|
Face Detection (F16)
|
100% |
295
3.38 IPS |
|
|
Face Detection (I8)
|
75% |
271
3.12 IPS |
|
|
Text Classification (F32)
|
100% |
910
359.7 IPS |
|
|
Text Classification (F16)
|
100% |
1149
454.3 IPS |
|
|
Machine Translation (F32)
|
100% |
694
106.9 IPS |
|
|
Machine Translation (F16)
|
100% |
805
124.1 IPS |
