iPhone XR
Geekbench AI Score
640
Single Precision Score
724
Half Precision Score
284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 08:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1548
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
709
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
92% |
151
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (Q)
|
100% |
235
2.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1649
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4174
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
4067
5.23 IPS |
|
|
Style Transfer (Q)
|
96% |
1491
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
291
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.8 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.7 IPS |
|
|
Text Classification (Q)
|
93% |
200
269.0 IPS |
|
|
Machine Translation (SP)
|
100% |
174
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (Q)
|
98% |
152
2.63 IPS |
