iPhone17,1
Geekbench ML Score
4500
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 15 2024 12:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11408
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
11566
1.24 KIPS |
|
|
Image Classification (I8)
|
81% |
972
104.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4074
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4034
24.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1743
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
40529
164.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
40102
162.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
304
1.23 IPS |
|
|
Object Detection (F32)
|
100% |
9457
331.9 IPS |
|
|
Object Detection (F16)
|
100% |
9252
324.7 IPS |
|
|
Object Detection (I8)
|
52% |
1373
48.2 IPS |
|
|
Face Detection (F32)
|
100% |
13055
150.0 IPS |
|
|
Face Detection (F16)
|
100% |
12981
149.1 IPS |
|
|
Face Detection (I8)
|
75% |
1404
16.1 IPS |
|
|
Text Classification (F32)
|
100% |
2285
903.9 IPS |
|
|
Text Classification (F16)
|
100% |
2294
907.2 IPS |
|
|
Machine Translation (F32)
|
100% |
3079
474.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3087
475.8 IPS |
