iPhone XS
Geekbench AI Score
623
Single Precision Score
690
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DJOUD |
| Upload Date | November 06 2024 11:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
684
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
92% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1651
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2030
15.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
4008
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3256
4.19 IPS |
|
|
Style Transfer (Q)
|
96% |
1435
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
274
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.2 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.9 IPS |
|
|
Text Classification (Q)
|
93% |
199
266.9 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.05 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.66 IPS |
|
|
Machine Translation (Q)
|
98% |
155
2.68 IPS |
