iPhone 13 Pro
Geekbench ML Score
694
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 12 2025 02:32 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
519
55.6 IPS |
|
|
Image Classification (F16)
|
100% |
522
55.9 IPS |
|
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
613
3.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
615
3.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1268
7.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
287
1.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
364
1.47 IPS |
|
|
Object Detection (F32)
|
100% |
766
26.9 IPS |
|
|
Object Detection (F16)
|
100% |
767
26.9 IPS |
|
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
867
9.96 IPS |
|
|
Face Detection (F16)
|
100% |
932
10.7 IPS |
|
|
Face Detection (I8)
|
75% |
1063
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
1214
480.2 IPS |
|
|
Text Classification (F16)
|
100% |
1039
410.9 IPS |
|
|
Machine Translation (F32)
|
100% |
967
149.0 IPS |
|
|
Machine Translation (F16)
|
100% |
964
148.5 IPS |
