iPhone 13 Pro Max
Geekbench ML Score
2258
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 11:05 PM |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2840
304.3 IPS |
|
|
Image Classification (F16)
|
100% |
4408
472.3 IPS |
|
|
Image Classification (I8)
|
81% |
694
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
5914
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8431
52.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1243
7.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
1913
7.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4876
19.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
3281
115.1 IPS |
|
|
Object Detection (F16)
|
100% |
3344
117.4 IPS |
|
|
Object Detection (I8)
|
52% |
980
34.4 IPS |
|
|
Face Detection (F32)
|
100% |
5103
58.6 IPS |
|
|
Face Detection (F16)
|
97% |
9206
105.8 IPS |
|
|
Face Detection (I8)
|
75% |
933
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1503
594.4 IPS |
|
|
Text Classification (F16)
|
100% |
1522
602.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2020
311.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2020
311.4 IPS |
