iPhone XS
Geekbench AI Score
620
Single Precision Score
1036
Half Precision Score
916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.6 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
796
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1234
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1003
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (HP)
|
99% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
92% |
538
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
100% |
1153
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
873
6.72 IPS |
|
|
Depth Estimation (HP)
|
98% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1270
9.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
3223
4.14 IPS |
|
|
Style Transfer (Q)
|
96% |
3064
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
678
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (HP)
|
100% |
577
770.2 IPS |
|
|
Text Classification (Q)
|
93% |
573
768.8 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
98% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1009
17.4 IPS |
