iPhone 13 Pro Max
Geekbench ML Score
706
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 02:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
480
51.4 IPS |
|
|
Image Classification (F16)
|
100% |
484
51.8 IPS |
|
|
Image Classification (I8)
|
81% |
859
92.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
590
3.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
3.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
1457
9.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
377
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
744
26.1 IPS |
|
|
Object Detection (F16)
|
100% |
727
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
1049
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
834
9.59 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.0 IPS |
|
|
Face Detection (I8)
|
75% |
1095
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
1102
435.7 IPS |
|
|
Text Classification (F16)
|
100% |
1091
431.7 IPS |
|
|
Machine Translation (F32)
|
100% |
956
147.3 IPS |
|
|
Machine Translation (F16)
|
100% |
955
147.1 IPS |
