iPhone17,5
Geekbench ML Score
1488
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 08 2025 05:22 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.61 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 | 7.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1154
123.6 IPS |
|
|
Image Classification (F16)
|
100% |
1106
118.5 IPS |
|
|
Image Classification (I8)
|
81% |
634
67.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1708
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1643
10.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1752
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
498
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
489
1.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
670
2.71 IPS |
|
|
Object Detection (F32)
|
100% |
1529
53.7 IPS |
|
|
Object Detection (F16)
|
100% |
1525
53.5 IPS |
|
|
Object Detection (I8)
|
52% |
966
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
1951
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1861
21.4 IPS |
|
|
Face Detection (I8)
|
75% |
1210
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
5730
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
5914
2.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
3017
464.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2931
451.8 IPS |
