iPhone XS
Geekbench AI Score
607
Single Precision Score
637
Half Precision Score
269
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | July 30 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
111
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
92% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1978
23.5 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1629
12.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
415
3.24 IPS |
|
|
Style Transfer (SP)
|
100% |
3956
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3197
4.11 IPS |
|
|
Style Transfer (Q)
|
96% |
1466
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
271
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
145
194.0 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.5 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
98% |
162
2.80 IPS |
