iPhone15,2
Geekbench ML Score
2541
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2025 02:52 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2880
308.5 IPS |
|
|
Image Classification (F16)
|
100% |
4557
488.3 IPS |
|
|
Image Classification (I8)
|
81% |
746
79.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
6522
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8875
54.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1366
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
2579
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
5121
20.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
3313
116.3 IPS |
|
|
Object Detection (F16)
|
100% |
3645
127.9 IPS |
|
|
Object Detection (I8)
|
52% |
1070
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
6068
69.7 IPS |
|
|
Face Detection (F16)
|
97% |
10138
116.5 IPS |
|
|
Face Detection (I8)
|
75% |
1046
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
2117
837.1 IPS |
|
|
Text Classification (F16)
|
100% |
2094
828.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2258
348.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2266
349.2 IPS |
