iPhone17,2
Geekbench ML Score
4508
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 27 2025 03:56 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11437
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
11295
1.21 KIPS |
|
|
Image Classification (I8)
|
81% |
983
105.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4054
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3998
24.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1768
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
40630
164.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
40200
162.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
303
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
10122
355.2 IPS |
|
|
Object Detection (F16)
|
100% |
9652
338.7 IPS |
|
|
Object Detection (I8)
|
52% |
1356
47.6 IPS |
|
|
Face Detection (F32)
|
100% |
13074
150.2 IPS |
|
|
Face Detection (F16)
|
100% |
12997
149.3 IPS |
|
|
Face Detection (I8)
|
75% |
1391
16.0 IPS |
|
|
Text Classification (F32)
|
100% |
2222
878.7 IPS |
|
|
Text Classification (F16)
|
100% |
2233
883.2 IPS |
|
|
Machine Translation (F32)
|
100% |
3088
475.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3088
475.9 IPS |
