iPhone 13 Pro Max
Geekbench ML Score
945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 09:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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% |
786
84.2 IPS |
|
|
Image Classification (F16)
|
100% |
765
82.0 IPS |
|
|
Image Classification (I8)
|
81% |
454
48.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1124
6.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
7.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
1447
8.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
442
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
433
1.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
499
2.02 IPS |
|
|
Object Detection (F32)
|
100% |
1133
39.8 IPS |
|
|
Object Detection (F16)
|
100% |
1118
39.2 IPS |
|
|
Object Detection (I8)
|
52% |
771
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1335
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1307
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.86 IPS |
|
|
Text Classification (F32)
|
100% |
1080
427.3 IPS |
|
|
Text Classification (F16)
|
100% |
1082
428.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2043
314.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2046
315.3 IPS |
