iPhone18,3
Geekbench ML Score
3558
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 16 2025 07:29 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 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 | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3547
380.1 IPS |
|
|
Image Classification (F16)
|
100% |
6444
690.4 IPS |
|
|
Image Classification (I8)
|
81% |
950
101.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6829
42.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
12279
75.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1633
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3705
15.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
7879
31.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
281
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
4566
160.2 IPS |
|
|
Object Detection (F16)
|
100% |
7232
253.8 IPS |
|
|
Object Detection (I8)
|
52% |
1288
45.2 IPS |
|
|
Face Detection (F32)
|
100% |
8156
93.7 IPS |
|
|
Face Detection (F16)
|
97% |
15797
181.5 IPS |
|
|
Face Detection (I8)
|
75% |
1331
15.3 IPS |
|
|
Text Classification (F32)
|
100% |
3450
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3648
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
3621
558.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3673
566.0 IPS |
