iPhone XS
Geekbench AI Score
656
Single Precision Score
1076
Half Precision Score
970
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 29 2025 05:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.2 IPS |
|
|
Image Classification (Q)
|
96% |
547
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
1038
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
99% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
92% |
610
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1233
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
969
7.46 IPS |
|
|
Depth Estimation (HP)
|
98% |
1723
13.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1464
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2319
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3799
4.88 IPS |
|
|
Style Transfer (Q)
|
96% |
3662
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
731
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.4 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.0 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.6 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
98% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1023
17.7 IPS |
