iPhone 11
Geekbench AI Score
915
Single Precision Score
1115
Half Precision Score
494
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | matogeek |
| Upload Date | July 27 2025 03:27 PM |
| Views | 9 |
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% |
288
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2378
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3212
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1242
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
94% |
267
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
344
4.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
2484
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3181
24.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
822
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
6049
7.78 IPS |
|
|
Style Transfer (HP)
|
100% |
6750
8.68 IPS |
|
|
Style Transfer (Q)
|
96% |
2071
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.3 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.2 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
98% |
298
5.15 IPS |
