iPhone XS
Geekbench AI Score
589
Single Precision Score
1005
Half Precision Score
874
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 22 2025 03:15 AM |
| Views | 7 |
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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
531
99.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
972
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
778
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
99% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
92% |
558
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1112
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
754
5.81 IPS |
|
|
Depth Estimation (HP)
|
98% |
1407
10.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1198
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1734
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2958
3.80 IPS |
|
|
Style Transfer (Q)
|
96% |
3014
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.5 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
93% |
561
753.2 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
98% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
