iPhone XS
Geekbench AI Score
472
Single Precision Score
2053
Half Precision Score
348
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 12 2025 12:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
99% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
188
3.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
22900
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
788
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
94% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (HP)
|
100% |
5281
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
248
2.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18833
145.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
411
3.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1556
2.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (Q)
|
96% |
1367
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.9 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.4 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.4 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
98% |
283
4.89 IPS |
