iPhone17,5
Geekbench ML Score
903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 08 2025 05:16 AM |
| Views | 8 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
535
57.3 IPS |
|
|
Image Classification (F16)
|
100% |
544
58.3 IPS |
|
|
Image Classification (I8)
|
81% |
1000
107.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
977
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
6.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
2091
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
432
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
831
29.2 IPS |
|
|
Object Detection (F16)
|
100% |
867
30.4 IPS |
|
|
Object Detection (I8)
|
52% |
1187
41.7 IPS |
|
|
Face Detection (F32)
|
100% |
884
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
926
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
1316
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
2456
971.5 IPS |
|
|
Text Classification (F16)
|
100% |
2462
973.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1241
191.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1237
190.7 IPS |
