iPhone XS
Geekbench AI Score
642
Single Precision Score
687
Half Precision Score
284
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | werewolf |
| Upload Date | August 26 2025 09:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
264
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1170
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
661
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (Q)
|
92% |
152
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
245
2.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4131
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3398
4.37 IPS |
|
|
Style Transfer (Q)
|
96% |
1519
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
260
9.60 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.6 IPS |
|
|
Text Classification (Q)
|
93% |
209
280.9 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (Q)
|
98% |
170
2.94 IPS |
