iPhone 13
Geekbench ML Score
2871
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 03:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6237
668.3 IPS |
|
|
Image Classification (F16)
|
100% |
6218
666.2 IPS |
|
|
Image Classification (I8)
|
81% |
683
73.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2136
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2140
13.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1266
7.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
24262
98.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
24554
99.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7548
264.9 IPS |
|
|
Object Detection (F16)
|
100% |
7254
254.6 IPS |
|
|
Object Detection (I8)
|
52% |
959
33.7 IPS |
|
|
Face Detection (F32)
|
100% |
8710
100.1 IPS |
|
|
Face Detection (F16)
|
100% |
8700
100.0 IPS |
|
|
Face Detection (I8)
|
75% |
895
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1231
487.1 IPS |
|
|
Text Classification (F16)
|
100% |
1233
487.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2068
318.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2082
320.9 IPS |
