iPhone 13 Pro Max
Geekbench ML Score
1068
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 06:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
831
89.0 IPS |
|
|
Image Classification (F16)
|
100% |
812
87.0 IPS |
|
|
Image Classification (I8)
|
81% |
455
48.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1156
7.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
1138
7.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1467
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
426
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1151
40.4 IPS |
|
|
Object Detection (F16)
|
100% |
1174
41.2 IPS |
|
|
Object Detection (I8)
|
52% |
740
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1414
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1396
16.0 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.89 IPS |
|
|
Text Classification (F32)
|
100% |
3046
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2891
1.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2112
325.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2111
325.4 IPS |
