iPhone XS
Geekbench AI Score
542
Single Precision Score
891
Half Precision Score
737
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 28 2024 07:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
100% |
487
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1151
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
803
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
99% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
92% |
482
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (HP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (Q)
|
100% |
947
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
614
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
513
3.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1686
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3014
3.88 IPS |
|
|
Style Transfer (Q)
|
100% |
3028
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.1 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.3 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.3 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
98% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
