iPhone XS
Geekbench AI Score
542
Single Precision Score
894
Half Precision Score
753
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 16 2024 12:33 PM |
| Views | 13 |
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% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
570
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
100% |
482
7.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
989
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
99% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
92% |
508
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
100% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
513
3.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1681
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (Q)
|
100% |
3021
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.1 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.3 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.0 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
98% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
811
14.0 IPS |
