iPhone17,2
Geekbench ML Score
3310
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 27 2025 03:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3683
394.6 IPS |
|
|
Image Classification (F16)
|
100% |
7382
791.0 IPS |
|
|
Image Classification (I8)
|
81% |
960
102.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
7431
45.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13294
82.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1667
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2283
9.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
6632
26.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
289
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
4130
144.9 IPS |
|
|
Object Detection (F16)
|
100% |
4843
170.0 IPS |
|
|
Object Detection (I8)
|
52% |
1320
46.3 IPS |
|
|
Face Detection (F32)
|
100% |
6921
79.5 IPS |
|
|
Face Detection (F16)
|
97% |
14223
163.4 IPS |
|
|
Face Detection (I8)
|
75% |
1334
15.3 IPS |
|
|
Text Classification (F32)
|
100% |
3500
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3484
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
3092
476.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3071
473.3 IPS |
