iPhone XS
Geekbench AI Score
629
Single Precision Score
686
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 29 2025 05:44 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1639
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1633
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4029
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3317
4.26 IPS |
|
|
Style Transfer (Q)
|
96% |
1471
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
267
9.85 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.4 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.8 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.1 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (Q)
|
98% |
151
2.61 IPS |
