iPhone XS
Geekbench ML Score
1058
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | December 06 2024 01:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
641
68.6 IPS |
|
|
Image Classification (F16)
|
100% |
949
101.7 IPS |
|
|
Image Classification (I8)
|
81% |
381
40.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2909
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4429
27.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
706
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1198
4.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
3040
12.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1243
43.6 IPS |
|
|
Object Detection (F16)
|
100% |
1386
48.6 IPS |
|
|
Object Detection (I8)
|
52% |
555
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
3015
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
4971
57.1 IPS |
|
|
Face Detection (I8)
|
75% |
482
5.54 IPS |
|
|
Text Classification (F32)
|
100% |
614
242.8 IPS |
|
|
Text Classification (F16)
|
100% |
751
297.2 IPS |
|
|
Machine Translation (F32)
|
100% |
966
149.0 IPS |
|
|
Machine Translation (F16)
|
100% |
959
147.8 IPS |
