iPhone XS
Geekbench ML Score
1096
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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% |
625
67.0 IPS |
|
|
Image Classification (F16)
|
100% |
1048
112.2 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2809
17.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4712
29.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
747
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1189
4.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
3432
13.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1398
49.1 IPS |
|
|
Object Detection (F16)
|
99% |
1442
50.6 IPS |
|
|
Object Detection (I8)
|
52% |
551
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
3009
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5048
58.0 IPS |
|
|
Face Detection (I8)
|
75% |
509
5.85 IPS |
|
|
Text Classification (F32)
|
100% |
597
236.2 IPS |
|
|
Text Classification (F16)
|
98% |
767
303.2 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
983
151.5 IPS |
