iPhone 11
Geekbench AI Score
924
Single Precision Score
1136
Half Precision Score
513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 07 2025 12:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1224
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
2496
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3452
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
944
7.37 IPS |
|
|
Style Transfer (SP)
|
100% |
6082
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
7684
9.88 IPS |
|
|
Style Transfer (Q)
|
96% |
2094
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.3 IPS |
|
|
Text Classification (HP)
|
100% |
403
538.5 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.4 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.12 IPS |
