iPhone 13 Pro Max
Geekbench ML Score
932
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | RedGreenER |
| Upload Date | February 22 2023 09:13 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
788
84.4 IPS |
|
|
Image Classification (F16)
|
100% |
757
81.1 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1139
7.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1097
6.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1452
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
432
1.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
421
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
495
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1090
38.3 IPS |
|
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
747
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1338
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1325
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
844
9.70 IPS |
|
|
Text Classification (F32)
|
100% |
1014
401.0 IPS |
|
|
Text Classification (F16)
|
100% |
1051
415.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2043
314.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2038
314.1 IPS |
