iPhone 11
Geekbench AI Score
917
Single Precision Score
1098
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 06:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1217
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (Q)
|
94% |
296
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2474
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3262
25.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
901
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
6029
7.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (Q)
|
96% |
2085
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.8 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.7 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.5 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.84 IPS |
