iPhone XS
Geekbench AI Score
594
Single Precision Score
1009
Half Precision Score
911
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | July 29 2025 03:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
352
65.4 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (Q)
|
96% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
784
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (HP)
|
99% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
92% |
549
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (HP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1115
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
98% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1221
9.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1928
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3498
4.50 IPS |
|
|
Style Transfer (Q)
|
96% |
3662
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
752
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.5 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.5 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.7 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1041
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
