iPhone XS
Geekbench AI Score
562
Single Precision Score
703
Half Precision Score
276
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | July 30 2025 06:59 AM |
| Views | 4 |
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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
172
2.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
1193
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1783
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
674
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
92% |
143
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (Q)
|
100% |
236
2.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1316
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1914
14.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
404
3.15 IPS |
|
|
Style Transfer (SP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4075
5.24 IPS |
|
|
Style Transfer (Q)
|
96% |
1461
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
263
9.73 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.5 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.7 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.4 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (Q)
|
98% |
164
2.83 IPS |
