iPhone XS
Geekbench ML Score
764
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 25 2025 07:22 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
370
69.2 IPS |
|
|
Image Classification (F16)
|
100% |
641
119.9 IPS |
|
|
Image Classification (I8)
|
99% |
645
120.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
262
4.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
356
5.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
354
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
1039
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1194
1.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
1157
1.40 IPS |
|
|
Object Detection (F32)
|
100% |
380
28.4 IPS |
|
|
Object Detection (F16)
|
100% |
651
48.6 IPS |
|
|
Object Detection (I8)
|
97% |
371
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
887
10.5 IPS |
|
|
Face Detection (F16)
|
97% |
1695
20.2 IPS |
|
|
Face Detection (I8)
|
96% |
1666
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1005
7.79 IPS |
|
|
Depth Estimation (F16)
|
100% |
1762
13.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
1733
13.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2247
2.96 IPS |
|
|
Style Transfer (F16)
|
100% |
3904
5.13 IPS |
|
|
Style Transfer (I8)
|
100% |
4028
5.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
677
24.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
933
33.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
931
33.2 IPS |
|
|
Text Classification (F32)
|
100% |
267
383.8 IPS |
|
|
Text Classification (F16)
|
100% |
518
744.9 IPS |
|
|
Text Classification (I8)
|
96% |
521
748.2 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
429
7.90 IPS |
|
|
Machine Translation (I8)
|
99% |
303
5.57 IPS |
