iPhone17,1
Geekbench ML Score
3449
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 15 2024 12:26 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3688
395.1 IPS |
|
|
Image Classification (F16)
|
100% |
7493
802.9 IPS |
|
|
Image Classification (I8)
|
81% |
976
104.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8131
50.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13253
81.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1771
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2291
9.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
6658
26.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
302
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
4537
159.2 IPS |
|
|
Object Detection (F16)
|
100% |
6213
218.0 IPS |
|
|
Object Detection (I8)
|
52% |
1371
48.1 IPS |
|
|
Face Detection (F32)
|
100% |
6955
79.9 IPS |
|
|
Face Detection (F16)
|
97% |
14269
163.9 IPS |
|
|
Face Detection (I8)
|
75% |
1388
15.9 IPS |
|
|
Text Classification (F32)
|
100% |
3780
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3633
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
3078
474.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3085
475.5 IPS |
