iPhone 13 Pro Max
Geekbench ML Score
2264
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 30 2022 02:38 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2828
303.0 IPS |
|
|
Image Classification (F16)
|
100% |
4375
468.8 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5861
36.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8129
50.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1275
7.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
1911
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4879
19.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
3297
115.7 IPS |
|
|
Object Detection (F16)
|
100% |
3332
116.9 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
5105
58.7 IPS |
|
|
Face Detection (F16)
|
97% |
9229
106.0 IPS |
|
|
Face Detection (I8)
|
75% |
971
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
1512
598.1 IPS |
|
|
Text Classification (F16)
|
100% |
1515
599.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2028
312.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2034
313.5 IPS |
