iPhone XS
Geekbench AI Score
422
Single Precision Score
1947
Half Precision Score
307
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | July 30 2025 02:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (Q)
|
99% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
155
2.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
19208
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
615
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
1391
110.4 IPS |
|
|
Object Detection (Q)
|
94% |
168
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.67 IPS |
|
|
Face Detection (HP)
|
100% |
5269
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
17907
138.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
360
2.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1404
1.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1148
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3430
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (Q)
|
93% |
292
392.0 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
