iPhone XS
Geekbench AI Score
523
Single Precision Score
859
Half Precision Score
792
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | September 09 2024 05:16 AM |
| 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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (Q)
|
96% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
581
9.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
860
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
99% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
92% |
497
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (Q)
|
100% |
974
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1114
8.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1667
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3082
3.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2829
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
642
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.1 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.3 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.7 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (HP)
|
98% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
