iPhone XS
Geekbench AI Score
429
Single Precision Score
400
Half Precision Score
178
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
96% |
67
12.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
108
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
473
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (Q)
|
92% |
52
4.16 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
100% |
91
1.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1092
8.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
596
4.59 IPS |
|
|
Depth Estimation (Q)
|
86% |
247
1.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2542
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1039
1.34 IPS |
|
|
Style Transfer (Q)
|
96% |
1261
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
209
7.73 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.5 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.5 IPS |
|
|
Text Classification (Q)
|
93% |
198
266.1 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
98% |
158
2.73 IPS |
