iPhone XS Max
Geekbench ML Score
1299
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2024 12:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3182
341.0 IPS |
|
|
Image Classification (F16)
|
100% |
3020
323.5 IPS |
|
|
Image Classification (I8)
|
81% |
405
43.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1352
8.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
1342
8.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
746
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
7283
29.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
7287
29.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3833
134.5 IPS |
|
|
Object Detection (F16)
|
94% |
3799
133.3 IPS |
|
|
Object Detection (I8)
|
52% |
566
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
3418
39.3 IPS |
|
|
Face Detection (F16)
|
67% |
3361
38.6 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.31 IPS |
|
|
Text Classification (F32)
|
100% |
271
107.4 IPS |
|
|
Text Classification (F16)
|
100% |
265
104.8 IPS |
|
|
Machine Translation (F32)
|
100% |
994
153.2 IPS |
|
|
Machine Translation (F16)
|
100% |
998
153.7 IPS |
