iPhone XS
Geekbench AI Score
466
Single Precision Score
763
Half Precision Score
696
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 18 2025 08:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
96% |
372
69.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
817
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
99% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
92% |
401
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (Q)
|
100% |
916
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
698
5.38 IPS |
|
|
Depth Estimation (HP)
|
98% |
1196
9.25 IPS |
|
|
Depth Estimation (Q)
|
85% |
1066
8.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1732
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2829
3.64 IPS |
|
|
Style Transfer (Q)
|
96% |
2668
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
523
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
196
262.1 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.7 IPS |
|
|
Text Classification (Q)
|
93% |
390
523.2 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
98% |
790
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
793
13.7 IPS |
