iPhone XS
Geekbench AI Score
434
Single Precision Score
1969
Half Precision Score
315
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
99% |
176
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
3.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
20996
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (Q)
|
94% |
169
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
5222
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
18342
141.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
349
2.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1379
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1380
1.77 IPS |
|
|
Style Transfer (Q)
|
96% |
1178
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.6 IPS |
|
|
Text Classification (Q)
|
93% |
285
381.9 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
98% |
279
4.82 IPS |
