iPhone 11
Geekbench AI Score
1163
Single Precision Score
3456
Half Precision Score
705
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 14 2025 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.3 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
28427
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3546
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6953
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20789
160.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
878
6.86 IPS |
|
|
Style Transfer (SP)
|
100% |
4278
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
9340
12.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3866
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
561
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.6 IPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
