iPhone XS Max
Geekbench ML Score
1167
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 06:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1124
120.4 IPS |
|
|
Image Classification (F16)
|
100% |
1183
126.8 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3026
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4559
28.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1185
4.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3402
13.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1410
49.5 IPS |
|
|
Object Detection (F16)
|
99% |
1497
52.6 IPS |
|
|
Object Detection (I8)
|
52% |
568
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
3160
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5264
60.5 IPS |
|
|
Face Detection (I8)
|
75% |
552
6.34 IPS |
|
|
Text Classification (F32)
|
100% |
679
268.6 IPS |
|
|
Text Classification (F16)
|
98% |
824
325.8 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.5 IPS |
