iPhone XS
Geekbench AI Score
653
Single Precision Score
1097
Half Precision Score
977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 06:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
791
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1057
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
730
57.9 IPS |
|
|
Object Detection (Q)
|
92% |
577
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (Q)
|
100% |
1229
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
938
7.23 IPS |
|
|
Depth Estimation (HP)
|
98% |
1636
12.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1439
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2292
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
4088
5.26 IPS |
|
|
Style Transfer (Q)
|
96% |
3704
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
810
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.7 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.4 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
