iPhone 11
Geekbench AI Score
1198
Single Precision Score
3590
Half Precision Score
744
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | January 09 2025 05:49 PM |
| Views | 5 |
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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2682
498.8 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
3344
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
28831
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3550
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7161
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1976
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23509
181.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1074
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
5332
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
10681
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4552
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1037
17.9 IPS |
