iPhone XS
Geekbench AI Score
504
Single Precision Score
2102
Half Precision Score
369
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 12:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.6 |
| 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% |
269
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
24296
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
824
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (Q)
|
94% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
644
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
5327
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
256
3.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
676
5.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
18822
145.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
449
3.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1787
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1773
2.28 IPS |
|
|
Style Transfer (Q)
|
96% |
1456
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
489
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.7 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.7 IPS |
|
|
Text Classification (Q)
|
93% |
301
404.4 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
98% |
343
5.92 IPS |
