iPhone17,5
Geekbench ML Score
4339
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 08 2025 05:24 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10883
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
11149
1.19 KIPS |
|
|
Image Classification (I8)
|
81% |
949
101.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3832
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3746
23.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1629
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
40422
163.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
39419
159.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
282
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
9772
342.9 IPS |
|
|
Object Detection (F16)
|
100% |
10006
351.1 IPS |
|
|
Object Detection (I8)
|
52% |
1260
44.2 IPS |
|
|
Face Detection (F32)
|
100% |
12699
145.9 IPS |
|
|
Face Detection (F16)
|
100% |
12362
142.0 IPS |
|
|
Face Detection (I8)
|
75% |
1289
14.8 IPS |
|
|
Text Classification (F32)
|
100% |
2223
879.1 IPS |
|
|
Text Classification (F16)
|
100% |
2262
894.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2915
449.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2921
450.2 IPS |
