iPhone15,2
Geekbench ML Score
966
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 11:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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% |
818
87.7 IPS |
|
|
Image Classification (F16)
|
100% |
785
84.1 IPS |
|
|
Image Classification (I8)
|
81% |
427
45.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1225
7.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
7.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1494
9.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
512
2.07 IPS |
|
|
Object Detection (F32)
|
100% |
1118
39.2 IPS |
|
|
Object Detection (F16)
|
100% |
1135
39.8 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1450
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1419
16.3 IPS |
|
|
Face Detection (I8)
|
75% |
839
9.64 IPS |
|
|
Text Classification (F32)
|
100% |
1093
432.3 IPS |
|
|
Text Classification (F16)
|
100% |
999
395.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2243
345.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2243
345.7 IPS |
