iPhone XS
Geekbench AI Score
416
Single Precision Score
1958
Half Precision Score
311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2024 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.0 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
867
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
18736
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (Q)
|
94% |
167
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
203
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
17732
136.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
331
2.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1310
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1293
1.66 IPS |
|
|
Style Transfer (Q)
|
96% |
1062
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
273
363.8 IPS |
|
|
Text Classification (HP)
|
100% |
313
418.2 IPS |
|
|
Text Classification (Q)
|
93% |
312
418.4 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.72 IPS |
