iPhone15,3
Geekbench ML Score
981
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 01:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
821
88.0 IPS |
|
|
Image Classification (F16)
|
100% |
807
86.5 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1231
7.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
1202
7.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1499
9.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
454
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
512
2.07 IPS |
|
|
Object Detection (F32)
|
100% |
1162
40.8 IPS |
|
|
Object Detection (F16)
|
100% |
1164
40.9 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1470
16.9 IPS |
|
|
Face Detection (F16)
|
100% |
1441
16.6 IPS |
|
|
Face Detection (I8)
|
75% |
853
9.80 IPS |
|
|
Text Classification (F32)
|
100% |
978
386.9 IPS |
|
|
Text Classification (F16)
|
100% |
1064
421.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2270
349.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2269
349.6 IPS |
