iPhone XR
Geekbench AI Score
617
Single Precision Score
983
Half Precision Score
917
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1025
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
92% |
541
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (Q)
|
100% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (HP)
|
98% |
1461
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1337
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2049
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (Q)
|
96% |
3377
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
693
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
282
375.7 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.8 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
98% |
936
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
931
16.1 IPS |
