iPhone XS
Geekbench AI Score
571
Single Precision Score
972
Half Precision Score
854
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 01:28 AM |
| Views | 1 |
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% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.5 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1164
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
856
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
769
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
99% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
92% |
541
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
827
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1108
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1184
9.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1711
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2981
3.83 IPS |
|
|
Style Transfer (Q)
|
96% |
2783
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
648
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.9 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.9 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.6 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
98% |
906
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
