iPhone XS
Geekbench AI Score
503
Single Precision Score
842
Half Precision Score
763
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
307
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
591
9.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
773
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
99% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
92% |
462
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
100% |
944
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
98% |
1263
9.76 IPS |
|
|
Depth Estimation (Q)
|
85% |
1064
8.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2862
3.68 IPS |
|
|
Style Transfer (Q)
|
96% |
2711
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
621
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.8 IPS |
|
|
Text Classification (HP)
|
100% |
557
744.1 IPS |
|
|
Text Classification (Q)
|
93% |
557
748.0 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
98% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
