iPhone 11 - Business Phone iPhone 11
Geekbench AI Score
862
Single Precision Score
1127
Half Precision Score
510
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | jordatech |
| Upload Date | April 15 2026 11:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1252
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
2517
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1034
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
6154
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8638
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2111
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.9 IPS |
|
|
Text Classification (HP)
|
100% |
395
527.5 IPS |
|
|
Text Classification (Q)
|
93% |
393
527.4 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.21 IPS |
