iPhone XS
Geekbench AI Score
415
Single Precision Score
1941
Half Precision Score
306
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | February 01 2026 05:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
256
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
172
2.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
18499
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
592
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (Q)
|
94% |
161
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
206
2.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18464
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
337
2.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1306
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1289
1.66 IPS |
|
|
Style Transfer (Q)
|
96% |
1075
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3546
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.6 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.6 IPS |
|
|
Text Classification (Q)
|
93% |
314
421.2 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
98% |
280
4.84 IPS |
