iPhone 12 Pro Max
Geekbench ML Score
1222
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | October 03 2023 04:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1158
124.1 IPS |
|
|
Image Classification (F16)
|
100% |
1461
156.6 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3821
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
5661
35.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
640
3.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
1586
6.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
3635
14.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
1378
48.4 IPS |
|
|
Object Detection (F16)
|
99% |
1493
52.4 IPS |
|
|
Object Detection (I8)
|
52% |
492
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
3973
45.6 IPS |
|
|
Face Detection (F16)
|
97% |
5019
57.7 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.51 IPS |
|
|
Text Classification (F32)
|
100% |
753
297.8 IPS |
|
|
Text Classification (F16)
|
98% |
960
379.5 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
983
151.5 IPS |
