iPhone 12 Pro Max
Geekbench ML Score
935
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 05:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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% |
691
74.0 IPS |
|
|
Image Classification (F16)
|
100% |
688
73.7 IPS |
|
|
Image Classification (I8)
|
81% |
405
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1067
6.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1360
8.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
372
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
443
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
992
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
976
34.3 IPS |
|
|
Object Detection (I8)
|
52% |
685
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
1183
13.6 IPS |
|
|
Face Detection (F16)
|
100% |
1157
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
805
9.24 IPS |
|
|
Text Classification (F32)
|
100% |
2775
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2608
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1729
266.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1720
265.1 IPS |
