iPhone XS
Geekbench AI Score
637
Single Precision Score
675
Half Precision Score
282
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 12 2025 12:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
92% |
151
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
4027
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3313
4.26 IPS |
|
|
Style Transfer (Q)
|
96% |
1444
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
289
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
151
200.9 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.4 IPS |
|
|
Text Classification (Q)
|
93% |
193
258.5 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.45 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
98% |
165
2.84 IPS |
