iPhone XS
Geekbench AI Score
607
Single Precision Score
693
Half Precision Score
281
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2024 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
672
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.5 IPS |
|
|
Object Detection (Q)
|
92% |
151
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
100% |
251
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1483
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3883
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3351
4.31 IPS |
|
|
Style Transfer (Q)
|
96% |
1459
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
270
9.96 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.7 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (Q)
|
93% |
201
269.3 IPS |
|
|
Machine Translation (SP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.67 IPS |
|
|
Machine Translation (Q)
|
98% |
154
2.66 IPS |
