iPhone15,5
Geekbench ML Score
1124
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 04:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
881
94.4 IPS |
|
|
Image Classification (F16)
|
100% |
848
90.9 IPS |
|
|
Image Classification (I8)
|
81% |
486
52.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1237
7.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
1189
7.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
1497
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
454
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
440
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
499
2.02 IPS |
|
|
Object Detection (F32)
|
100% |
1215
42.6 IPS |
|
|
Object Detection (F16)
|
100% |
1228
43.1 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1537
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1498
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
2906
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3210
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2387
367.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2335
359.9 IPS |
