iPhone XS
Geekbench AI Score
424
Single Precision Score
1970
Half Precision Score
314
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
242
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
166
2.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
20270
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
639
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
94% |
173
13.8 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
213
2.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
18609
143.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
349
2.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1418
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1471
1.89 IPS |
|
|
Style Transfer (Q)
|
96% |
1226
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
437
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.3 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.3 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
98% |
281
4.86 IPS |
