iPhone15,3
Geekbench ML Score
1006
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 03:29 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
849
91.0 IPS |
|
|
Image Classification (F16)
|
100% |
815
87.3 IPS |
|
|
Image Classification (I8)
|
81% |
484
51.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1264
7.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
1241
7.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1483
9.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
477
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
470
1.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
529
2.14 IPS |
|
|
Object Detection (F32)
|
100% |
1201
42.2 IPS |
|
|
Object Detection (F16)
|
100% |
1204
42.2 IPS |
|
|
Object Detection (I8)
|
52% |
758
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1521
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1498
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.88 IPS |
|
|
Text Classification (F32)
|
100% |
966
382.0 IPS |
|
|
Text Classification (F16)
|
100% |
1139
450.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2278
351.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2265
349.0 IPS |
