iPhone XS
Geekbench AI Score
376
Single Precision Score
1636
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 18 2025 09:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
192
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.3 IPS |
|
|
Image Classification (Q)
|
99% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
149
2.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
16879
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
623
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
94% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
208
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
14191
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
342
2.67 IPS |
|
|
Style Transfer (SP)
|
100% |
1415
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1392
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1156
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
368
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.3 IPS |
|
|
Text Classification (HP)
|
100% |
228
303.9 IPS |
|
|
Text Classification (Q)
|
93% |
227
304.2 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
98% |
275
4.76 IPS |
