iPhone XS
Geekbench AI Score
240
Single Precision Score
363
Half Precision Score
329
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
96% |
435
81.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
577
9.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
576
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
346
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.12 IPS |
|
|
Object Detection (HP)
|
99% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
92% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
211
1.62 IPS |
|
|
Depth Estimation (HP)
|
98% |
449
3.47 IPS |
|
|
Depth Estimation (Q)
|
85% |
395
3.09 IPS |
|
|
Style Transfer (SP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
96% |
935
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
131
4.83 IPS |
|
|
Text Classification (SP)
|
100% |
85
113.4 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (Q)
|
93% |
263
353.4 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (HP)
|
98% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
98% |
213
3.68 IPS |
