iPhone16,2
Geekbench ML Score
1420
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 25 2024 12:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1082
116.0 IPS |
|
|
Image Classification (F16)
|
100% |
1059
113.5 IPS |
|
|
Image Classification (I8)
|
81% |
654
70.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1463
9.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
8.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1675
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
514
2.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
507
2.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
660
2.67 IPS |
|
|
Object Detection (F32)
|
100% |
1454
51.0 IPS |
|
|
Object Detection (F16)
|
100% |
1466
51.5 IPS |
|
|
Object Detection (I8)
|
52% |
933
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
1891
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1869
21.5 IPS |
|
|
Face Detection (I8)
|
75% |
1034
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
5447
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
5412
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2829
436.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2852
439.6 IPS |
