iPhone 13 Pro Max
Geekbench ML Score
1014
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 05:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1 |
| 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% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
748
80.2 IPS |
|
|
Image Classification (I8)
|
81% |
452
48.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1047
6.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
6.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1408
8.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
392
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
453
1.83 IPS |
|
|
Object Detection (F32)
|
100% |
1075
37.7 IPS |
|
|
Object Detection (F16)
|
100% |
1077
37.8 IPS |
|
|
Object Detection (I8)
|
52% |
755
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1294
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1254
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
3046
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2960
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2113
325.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2097
323.2 IPS |
