iPhone15,2
Geekbench ML Score
1005
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2023 07:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
834
89.3 IPS |
|
|
Image Classification (F16)
|
100% |
840
90.0 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1289
7.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
1265
7.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1489
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
486
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
483
1.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
546
2.21 IPS |
|
|
Object Detection (F32)
|
100% |
1255
44.0 IPS |
|
|
Object Detection (F16)
|
100% |
1264
44.3 IPS |
|
|
Object Detection (I8)
|
52% |
774
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1552
17.8 IPS |
|
|
Face Detection (F16)
|
100% |
1516
17.4 IPS |
|
|
Face Detection (I8)
|
75% |
838
9.63 IPS |
|
|
Text Classification (F32)
|
100% |
914
361.7 IPS |
|
|
Text Classification (F16)
|
100% |
965
381.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2261
348.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2265
349.1 IPS |
