iPhone XS
Geekbench AI Score
443
Single Precision Score
1913
Half Precision Score
636
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 28 2024 07:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
99% |
2012
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
100% |
391
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
20519
23.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
598
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
94% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
217
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
18113
139.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
17965
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (Q)
|
100% |
1376
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
399
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (Q)
|
93% |
289
387.2 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
98% |
220
3.81 IPS |
