iPhone 11 Pro Max
Geekbench ML Score
1386
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 10:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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% |
1284
137.5 IPS |
|
|
Image Classification (F16)
|
100% |
1575
168.8 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3460
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5434
33.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
834
5.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1420
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4409
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1543
54.2 IPS |
|
|
Object Detection (F16)
|
99% |
1877
65.9 IPS |
|
|
Object Detection (I8)
|
52% |
641
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
3619
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5196
59.7 IPS |
|
|
Face Detection (I8)
|
75% |
624
7.17 IPS |
|
|
Text Classification (F32)
|
100% |
956
378.2 IPS |
|
|
Text Classification (F16)
|
98% |
1227
485.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1209
186.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
183.4 IPS |
