iPhone XS
Geekbench AI Score
485
Single Precision Score
2103
Half Precision Score
359
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
23015
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
19013
146.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
426
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1768
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1800
2.31 IPS |
|
|
Style Transfer (Q)
|
96% |
1451
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.6 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.4 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
98% |
323
5.58 IPS |
