iPhone 13
Geekbench ML Score
899
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 07:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
751
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
725
77.7 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1070
6.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1034
6.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1442
8.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
391
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
456
1.85 IPS |
|
|
Object Detection (F32)
|
100% |
1004
35.2 IPS |
|
|
Object Detection (F16)
|
100% |
1004
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
749
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1257
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1218
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1142
451.7 IPS |
|
|
Text Classification (F16)
|
100% |
1031
407.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2067
318.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2047
315.5 IPS |
