iPhone 11 Pro Max
Geekbench ML Score
1377
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 08 2023 07:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1858
199.0 IPS |
|
|
Image Classification (F16)
|
100% |
1626
174.2 IPS |
|
|
Image Classification (I8)
|
81% |
424
45.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3437
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5502
34.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1418
5.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4411
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
1550
54.4 IPS |
|
|
Object Detection (F16)
|
99% |
1813
63.6 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
3596
41.3 IPS |
|
|
Face Detection (F16)
|
97% |
5329
61.2 IPS |
|
|
Face Detection (I8)
|
75% |
560
6.43 IPS |
|
|
Text Classification (F32)
|
100% |
938
371.1 IPS |
|
|
Text Classification (F16)
|
98% |
1187
469.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1181
182.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1180
181.9 IPS |
