iPhone XS Max
Geekbench ML Score
1188
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2024 12:13 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1201
128.7 IPS |
|
|
Image Classification (F16)
|
100% |
1183
126.8 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3100
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4789
29.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
747
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
1198
4.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
3451
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
1430
50.2 IPS |
|
|
Object Detection (F16)
|
99% |
1551
54.4 IPS |
|
|
Object Detection (I8)
|
52% |
566
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
3226
37.1 IPS |
|
|
Face Detection (F16)
|
97% |
5443
62.5 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
703
278.1 IPS |
|
|
Text Classification (F16)
|
98% |
859
339.9 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
