iPhone XS
Geekbench AI Score
570
Single Precision Score
984
Half Precision Score
835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 08 2025 12:51 PM |
| 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% |
371
69.0 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
96% |
540
100.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
428
6.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
790
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
786
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
92% |
548
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1106
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1154
9.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2853
3.67 IPS |
|
|
Style Transfer (Q)
|
96% |
2693
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
621
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.0 IPS |
|
|
Text Classification (Q)
|
93% |
562
753.9 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
98% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |
