iPhone16,2
Geekbench ML Score
1342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 14 2025 11:32 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1043
111.7 IPS |
|
|
Image Classification (F16)
|
100% |
1006
107.7 IPS |
|
|
Image Classification (I8)
|
81% |
543
58.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
8.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1399
8.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1623
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
484
1.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
481
1.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
643
2.60 IPS |
|
|
Object Detection (F32)
|
100% |
1455
51.1 IPS |
|
|
Object Detection (F16)
|
100% |
1407
49.4 IPS |
|
|
Object Detection (I8)
|
52% |
838
29.4 IPS |
|
|
Face Detection (F32)
|
100% |
1841
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1779
20.4 IPS |
|
|
Face Detection (I8)
|
75% |
1014
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
5027
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
4887
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
2642
407.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2643
407.4 IPS |
