iPhone XR
Geekbench AI Score
633
Single Precision Score
750
Half Precision Score
423
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:48 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
99% |
276
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
100% |
252
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1525
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1927
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
730
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1967
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1716
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1987
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3269
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4342
5.58 IPS |
|
|
Style Transfer (Q)
|
100% |
4258
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
282
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
150
199.9 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.0 IPS |
|
|
Text Classification (Q)
|
93% |
212
283.9 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (Q)
|
98% |
185
3.20 IPS |
