iPhone XS
Geekbench AI Score
447
Single Precision Score
1952
Half Precision Score
316
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 08:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.7 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
190
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
19184
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
617
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
94% |
168
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.66 IPS |
|
|
Face Detection (HP)
|
100% |
5287
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
18021
138.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
361
2.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1419
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1394
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1155
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3441
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
411
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (Q)
|
93% |
289
387.5 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
98% |
288
4.98 IPS |
