iPhone 11
Geekbench AI Score
908
Single Precision Score
1094
Half Precision Score
485
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 14 2025 11:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
97% |
231
43.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
335
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
1259
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
94% |
273
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3425
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
914
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
5999
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6873
8.83 IPS |
|
|
Style Transfer (Q)
|
96% |
2102
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
431
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (HP)
|
100% |
408
545.2 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.3 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
234
4.04 IPS |
