iPhone XS
Geekbench AI Score
602
Single Precision Score
1026
Half Precision Score
897
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | werewolf |
| Upload Date | August 26 2025 09:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1154
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1059
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
92% |
596
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1144
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
841
6.48 IPS |
|
|
Depth Estimation (HP)
|
98% |
1507
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1254
9.80 IPS |
|
|
Style Transfer (SP)
|
100% |
2067
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3528
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
3109
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
559
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
674
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.7 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.3 IPS |
|
|
Text Classification (Q)
|
93% |
561
753.5 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
98% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
867
15.0 IPS |
