iPhone 11
Geekbench AI Score
905
Single Precision Score
1062
Half Precision Score
490
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 15 2025 03:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
97% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
319
5.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
1296
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
94% |
260
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
2461
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
861
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
5971
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6727
8.65 IPS |
|
|
Style Transfer (Q)
|
96% |
2129
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.1 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.4 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.3 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
98% |
299
5.16 IPS |
