iPhone 13 Pro
Geekbench ML Score
2972
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 20 2024 01:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6268
671.6 IPS |
|
|
Image Classification (F16)
|
100% |
6462
692.4 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2286
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2382
14.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1277
7.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
25789
104.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
23368
94.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7402
259.8 IPS |
|
|
Object Detection (F16)
|
100% |
7722
271.0 IPS |
|
|
Object Detection (I8)
|
52% |
998
35.0 IPS |
|
|
Face Detection (F32)
|
100% |
8807
101.2 IPS |
|
|
Face Detection (F16)
|
100% |
8752
100.5 IPS |
|
|
Face Detection (I8)
|
75% |
973
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
1384
547.3 IPS |
|
|
Text Classification (F16)
|
100% |
1380
545.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2048
315.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2051
316.0 IPS |
