iPhone XS
Geekbench AI Score
541
Single Precision Score
893
Half Precision Score
801
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
364
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
96% |
489
91.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
604
9.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
99% |
572
45.3 IPS |
|
|
Object Detection (Q)
|
92% |
473
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (Q)
|
100% |
944
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.76 IPS |
|
|
Depth Estimation (HP)
|
98% |
1275
9.85 IPS |
|
|
Depth Estimation (Q)
|
85% |
1081
8.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1634
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3048
3.92 IPS |
|
|
Style Transfer (Q)
|
96% |
2769
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.5 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.6 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.5 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
98% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.0 IPS |
