iPhone XS
Geekbench AI Score
624
Single Precision Score
669
Half Precision Score
284
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | February 01 2026 04:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
692
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
92% |
154
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (Q)
|
100% |
240
2.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
1650
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1789
13.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
416
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (Q)
|
96% |
1537
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
263
9.71 IPS |
|
|
Text Classification (SP)
|
100% |
150
199.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.8 IPS |
|
|
Text Classification (Q)
|
93% |
205
275.8 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
98% |
172
2.97 IPS |
