iPhone 13 Pro
Geekbench ML Score
955
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 04:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.7 IPS |
|
|
Image Classification (F16)
|
100% |
769
82.4 IPS |
|
|
Image Classification (I8)
|
81% |
445
47.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1158
7.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
6.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1447
8.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
499
2.02 IPS |
|
|
Object Detection (F32)
|
100% |
1100
38.6 IPS |
|
|
Object Detection (F16)
|
100% |
1105
38.8 IPS |
|
|
Object Detection (I8)
|
52% |
724
25.4 IPS |
|
|
Face Detection (F32)
|
100% |
1372
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
1282
507.1 IPS |
|
|
Text Classification (F16)
|
100% |
1340
530.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1955
301.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
302.1 IPS |
