iPhone XS
Geekbench AI Score
596
Single Precision Score
600
Half Precision Score
252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sokolov744 |
| Upload Date | October 11 2025 03:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
174
2.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
92% |
128
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (Q)
|
100% |
167
1.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.15 IPS |
|
|
Depth Estimation (Q)
|
86% |
388
3.03 IPS |
|
|
Style Transfer (SP)
|
100% |
3864
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2337
3.00 IPS |
|
|
Style Transfer (Q)
|
96% |
1497
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
228
8.42 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.2 IPS |
|
|
Text Classification (Q)
|
93% |
199
266.5 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.80 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.81 IPS |
