iPhone XS
Geekbench AI Score
469
Single Precision Score
2072
Half Precision Score
350
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.8 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
183
2.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
24127
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
773
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (Q)
|
94% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
612
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
18472
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1735
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1689
2.17 IPS |
|
|
Style Transfer (Q)
|
96% |
1400
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.3 IPS |
|
|
Text Classification (Q)
|
93% |
292
392.4 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
98% |
288
4.97 IPS |
