iPhone 13 Pro Max
Geekbench ML Score
937
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 04:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
760
81.4 IPS |
|
|
Image Classification (F16)
|
100% |
743
79.6 IPS |
|
|
Image Classification (I8)
|
81% |
445
47.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1119
6.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
1085
6.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1458
9.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
420
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1100
38.6 IPS |
|
|
Object Detection (F16)
|
100% |
1098
38.5 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1329
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1308
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
1098
434.3 IPS |
|
|
Text Classification (F16)
|
100% |
1361
538.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1971
303.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1970
303.7 IPS |
