iPhone15,2
Geekbench ML Score
1013
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 02:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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% |
826
88.5 IPS |
|
|
Image Classification (F16)
|
100% |
805
86.3 IPS |
|
|
Image Classification (I8)
|
81% |
478
51.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1208
7.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
1176
7.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1505
9.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
448
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
517
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
1172
41.1 IPS |
|
|
Object Detection (F16)
|
100% |
1133
39.8 IPS |
|
|
Object Detection (I8)
|
52% |
777
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1461
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1410
16.2 IPS |
|
|
Face Detection (I8)
|
75% |
864
9.92 IPS |
|
|
Text Classification (F32)
|
100% |
1358
536.9 IPS |
|
|
Text Classification (F16)
|
100% |
1500
593.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2239
345.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2241
345.4 IPS |
