iPhone XS
Geekbench ML Score
1120
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 09:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
651
69.7 IPS |
|
|
Image Classification (F16)
|
100% |
1049
112.4 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3075
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4578
28.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1206
4.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3446
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1365
47.9 IPS |
|
|
Object Detection (F16)
|
99% |
1519
53.3 IPS |
|
|
Object Detection (I8)
|
52% |
568
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
3190
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5094
58.5 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
649
256.5 IPS |
|
|
Text Classification (F16)
|
98% |
778
307.6 IPS |
|
|
Machine Translation (F32)
|
100% |
983
151.5 IPS |
|
|
Machine Translation (F16)
|
100% |
980
151.1 IPS |
