iPhone XS
Geekbench ML Score
540
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2025 12:35 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
459
49.2 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
754
4.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
955
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
237
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
259
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
677
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
674
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
527
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
824
9.47 IPS |
|
|
Face Detection (F16)
|
100% |
841
9.66 IPS |
|
|
Face Detection (I8)
|
75% |
594
6.82 IPS |
|
|
Text Classification (F32)
|
100% |
745
294.5 IPS |
|
|
Text Classification (F16)
|
100% |
400
158.1 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.1 IPS |
|
|
Machine Translation (F16)
|
100% |
970
149.4 IPS |
