iPhone XS
Geekbench AI Score
625
Single Precision Score
695
Half Precision Score
274
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1350
1.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
607
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
92% |
146
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1712
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2249
17.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
423
3.30 IPS |
|
|
Style Transfer (SP)
|
100% |
4062
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3763
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1414
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
272
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.0 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (Q)
|
93% |
195
262.2 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.37 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
98% |
159
2.75 IPS |
