iPhone XS
Geekbench AI Score
630
Single Precision Score
1064
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 16 2024 01:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
538
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1045
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
92% |
551
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1188
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
878
6.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
1606
12.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1350
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2346
3.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3955
5.08 IPS |
|
|
Style Transfer (Q)
|
96% |
3816
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
784
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.4 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.1 IPS |
|
|
Text Classification (Q)
|
93% |
539
724.0 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
98% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1001
17.3 IPS |
