iPhone XS
Geekbench AI Score
470
Single Precision Score
846
Half Precision Score
758
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | September 19 2024 06:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
96% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
681
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
99% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
92% |
502
40.1 IPS |
|
|
Face Detection (SP)
|
100% |
827
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
1137
8.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
1063
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1577
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2711
3.48 IPS |
|
|
Style Transfer (Q)
|
96% |
2594
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
661
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.4 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.6 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.0 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
98% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |
