iPhone15,2
Geekbench ML Score
1033
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 19 2022 05:50 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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% |
849
91.0 IPS |
|
|
Image Classification (F16)
|
100% |
826
88.5 IPS |
|
|
Image Classification (I8)
|
81% |
467
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1226
7.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1205
7.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
1502
9.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
460
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
458
1.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
536
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
1201
42.1 IPS |
|
|
Object Detection (F16)
|
100% |
1202
42.2 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1509
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1496
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
1421
562.1 IPS |
|
|
Text Classification (F16)
|
100% |
1438
568.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2261
348.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2281
351.5 IPS |
