iPhone 11
Geekbench ML Score
1079
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2023 02:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1138
121.9 IPS |
|
|
Image Classification (F16)
|
100% |
1409
151.0 IPS |
|
|
Image Classification (I8)
|
81% |
287
30.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3283
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5353
33.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
537
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
1365
5.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
3928
15.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
98
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
1292
45.3 IPS |
|
|
Object Detection (F16)
|
99% |
1588
55.7 IPS |
|
|
Object Detection (I8)
|
52% |
401
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
3281
37.7 IPS |
|
|
Face Detection (F16)
|
97% |
4949
56.9 IPS |
|
|
Face Detection (I8)
|
75% |
393
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
832
328.9 IPS |
|
|
Text Classification (F16)
|
98% |
1006
397.7 IPS |
|
|
Machine Translation (F32)
|
100% |
657
101.2 IPS |
|
|
Machine Translation (F16)
|
100% |
651
100.4 IPS |
