iPhone XS
Geekbench AI Score
360
Single Precision Score
1670
Half Precision Score
256
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
243
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.7 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
153
2.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17975
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
533
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
1216
96.4 IPS |
|
|
Object Detection (Q)
|
94% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
463
5.51 IPS |
|
|
Face Detection (HP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
166
1.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
390
3.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
14400
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
283
2.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1142
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1150
1.48 IPS |
|
|
Style Transfer (Q)
|
96% |
952
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
356
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3322
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
343
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.8 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.8 IPS |
|
|
Text Classification (Q)
|
93% |
265
355.7 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.95 IPS |
|
|
Machine Translation (Q)
|
98% |
170
2.93 IPS |
