iPhone XS
Geekbench AI Score
637
Single Precision Score
671
Half Precision Score
275
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 04:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
181
2.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1514
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
669
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.4 IPS |
|
|
Object Detection (Q)
|
92% |
129
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1993
23.7 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1806
13.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
414
3.24 IPS |
|
|
Style Transfer (SP)
|
100% |
4054
5.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3359
4.32 IPS |
|
|
Style Transfer (Q)
|
96% |
1445
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
268
9.89 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.3 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.3 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.37 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
98% |
161
2.78 IPS |
