iPhone XS
Geekbench AI Score
516
Single Precision Score
843
Half Precision Score
722
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 21 2024 09:47 PM |
| Views | 5 |
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% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
528
98.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (Q)
|
100% |
450
7.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
848
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
99% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
92% |
489
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
100% |
991
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1317
10.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
498
3.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1616
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2902
3.73 IPS |
|
|
Style Transfer (Q)
|
100% |
2906
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
267
355.7 IPS |
|
|
Text Classification (HP)
|
100% |
548
731.0 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.2 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
98% |
827
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
