iPhone XS
Geekbench AI Score
418
Single Precision Score
1959
Half Precision Score
309
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
727
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
18713
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
600
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
94% |
165
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
18121
139.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
352
2.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1367
1.76 IPS |
|
|
Style Transfer (Q)
|
96% |
1129
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3540
130.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
401
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (Q)
|
93% |
286
384.1 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
98% |
281
4.86 IPS |
