iPhone XS
Geekbench AI Score
242
Single Precision Score
352
Half Precision Score
373
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 22 2025 02:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.6 IPS |
|
|
Image Classification (Q)
|
96% |
534
99.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
279
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.83 IPS |
|
|
Object Detection (HP)
|
99% |
122
9.65 IPS |
|
|
Object Detection (Q)
|
92% |
104
8.28 IPS |
|
|
Face Detection (SP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.22 IPS |
|
|
Face Detection (Q)
|
100% |
279
3.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
209
1.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
797
6.16 IPS |
|
|
Depth Estimation (Q)
|
85% |
756
5.91 IPS |
|
|
Style Transfer (SP)
|
100% |
961
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1730
2.22 IPS |
|
|
Style Transfer (Q)
|
96% |
1630
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
174
6.41 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.5 IPS |
|
|
Text Classification (HP)
|
100% |
97
130.0 IPS |
|
|
Text Classification (Q)
|
93% |
215
288.6 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
98% |
263
4.55 IPS |
|
|
Machine Translation (Q)
|
98% |
386
6.66 IPS |
