iPhone XS
Geekbench AI Score
628
Single Precision Score
1064
Half Precision Score
952
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 06:34 AM |
| Views | 4 |
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% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
773
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1170
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
1039
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
92% |
598
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1172
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1612
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1401
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2233
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3588
4.61 IPS |
|
|
Style Transfer (Q)
|
96% |
3639
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
740
27.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.3 IPS |
|
|
Text Classification (Q)
|
93% |
565
757.9 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
98% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
957
16.5 IPS |
