iPhone18,2
Geekbench ML Score
1389
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2025 03:26 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1244
133.3 IPS |
|
|
Image Classification (F16)
|
100% |
1227
131.5 IPS |
|
|
Image Classification (I8)
|
81% |
557
59.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1873
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1812
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1738
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
623
2.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
620
2.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
711
2.88 IPS |
|
|
Object Detection (F32)
|
100% |
1801
63.2 IPS |
|
|
Object Detection (F16)
|
100% |
1834
64.4 IPS |
|
|
Object Detection (I8)
|
52% |
851
29.9 IPS |
|
|
Face Detection (F32)
|
100% |
2200
25.3 IPS |
|
|
Face Detection (F16)
|
100% |
2133
24.5 IPS |
|
|
Face Detection (I8)
|
75% |
1085
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
3288
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
470
186.0 IPS |
|
|
Machine Translation (F32)
|
100% |
4109
633.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4114
634.1 IPS |
