iPhone XS
Geekbench AI Score
653
Single Precision Score
1084
Half Precision Score
973
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 09:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.8 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
784
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1027
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
693
54.9 IPS |
|
|
Object Detection (Q)
|
92% |
585
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
100% |
1225
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.30 IPS |
|
|
Depth Estimation (HP)
|
98% |
1612
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1388
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2253
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3820
4.91 IPS |
|
|
Style Transfer (Q)
|
96% |
3624
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
798
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
568
758.1 IPS |
|
|
Text Classification (Q)
|
93% |
566
759.0 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
