iPhone 11
Geekbench AI Score
1165
Single Precision Score
3533
Half Precision Score
715
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.4 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3122
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
28882
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3458
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
288
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1934
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23533
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1006
7.86 IPS |
|
|
Style Transfer (SP)
|
100% |
5077
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10128
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4207
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
568
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.6 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.8 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |
