iPhone XS
Geekbench AI Score
580
Single Precision Score
1003
Half Precision Score
884
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 19 2025 02:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
337
62.6 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
959
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
782
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
99% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
92% |
545
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (HP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1119
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
98% |
1418
11.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1212
9.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1799
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3179
4.09 IPS |
|
|
Style Transfer (Q)
|
96% |
3114
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
756
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
562
750.5 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.7 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
98% |
959
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
956
16.5 IPS |
