iPhone17,1
Geekbench ML Score
4555
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:44 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11017
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
11137
1.19 KIPS |
|
|
Image Classification (I8)
|
81% |
965
103.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3962
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3875
23.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1667
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
40301
163.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
40077
162.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
291
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
9730
341.5 IPS |
|
|
Object Detection (F16)
|
100% |
10049
352.6 IPS |
|
|
Object Detection (I8)
|
52% |
1305
45.8 IPS |
|
|
Face Detection (F32)
|
100% |
12527
143.9 IPS |
|
|
Face Detection (F16)
|
100% |
12440
142.9 IPS |
|
|
Face Detection (I8)
|
75% |
1343
15.4 IPS |
|
|
Text Classification (F32)
|
100% |
2163
855.5 IPS |
|
|
Text Classification (F16)
|
100% |
2306
911.9 IPS |
|
|
Machine Translation (F32)
|
100% |
4140
638.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4142
638.4 IPS |
