iPhone 13 Pro Max
Geekbench ML Score
2265
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | toygoon |
| Upload Date | August 31 2024 03:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2832
303.5 IPS |
|
|
Image Classification (F16)
|
100% |
4435
475.2 IPS |
|
|
Image Classification (I8)
|
81% |
690
73.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5913
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8434
52.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1206
7.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
1897
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
4820
19.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
3316
116.4 IPS |
|
|
Object Detection (F16)
|
100% |
3373
118.4 IPS |
|
|
Object Detection (I8)
|
52% |
940
33.0 IPS |
|
|
Face Detection (F32)
|
100% |
5072
58.3 IPS |
|
|
Face Detection (F16)
|
97% |
9203
105.7 IPS |
|
|
Face Detection (I8)
|
75% |
908
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1906
753.9 IPS |
|
|
Text Classification (F16)
|
100% |
1562
618.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1954
301.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
301.6 IPS |
