iPhone XS
Geekbench AI Score
585
Single Precision Score
668
Half Precision Score
377
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 28 2024 07:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
99% |
257
48.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
100% |
252
4.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
654
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
1847
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (Q)
|
100% |
234
2.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1632
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1633
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2687
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3338
4.29 IPS |
|
|
Style Transfer (Q)
|
100% |
3394
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
266
9.86 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.3 IPS |
|
|
Text Classification (Q)
|
93% |
195
262.2 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.69 IPS |
