iPhone XR
Geekbench AI Score
416
Single Precision Score
1950
Half Precision Score
299
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 16 2025 02:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
160
2.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
22861
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
652
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (Q)
|
94% |
185
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (HP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
178
2.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
18245
140.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
324
2.53 IPS |
|
|
Style Transfer (SP)
|
100% |
1373
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1386
1.78 IPS |
|
|
Style Transfer (Q)
|
96% |
1118
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3395
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.5 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.7 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.5 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
98% |
238
4.11 IPS |
