iPhone XS Max
Geekbench ML Score
552
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2023 12:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 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% |
457
49.0 IPS |
|
|
Image Classification (F16)
|
100% |
424
45.4 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
4.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
642
3.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
942
5.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
205
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
209
0.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
249
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
659
23.1 IPS |
|
|
Object Detection (F16)
|
100% |
659
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
524
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
833
9.57 IPS |
|
|
Face Detection (F16)
|
100% |
773
8.88 IPS |
|
|
Face Detection (I8)
|
75% |
577
6.63 IPS |
|
|
Text Classification (F32)
|
100% |
776
306.7 IPS |
|
|
Text Classification (F16)
|
100% |
764
302.3 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
990
152.6 IPS |
