iPhone XR
Geekbench AI Score
597
Single Precision Score
613
Half Precision Score
262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| 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 | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
96% |
128
23.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
673
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.4 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
100% |
171
2.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
1622
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
364
2.84 IPS |
|
|
Style Transfer (SP)
|
100% |
3810
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2806
3.61 IPS |
|
|
Style Transfer (Q)
|
96% |
1529
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
254
9.37 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.3 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.4 IPS |
|
|
Text Classification (Q)
|
93% |
198
266.2 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
98% |
158
2.74 IPS |
