iPhone 11
Geekbench AI Score
912
Single Precision Score
1093
Half Precision Score
493
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 22 2025 09:13 AM |
| Views | 5 |
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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (Q)
|
97% |
234
43.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
1273
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.1 IPS |
|
|
Object Detection (Q)
|
94% |
267
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
339
4.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
2467
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3090
23.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
839
6.55 IPS |
|
|
Style Transfer (SP)
|
100% |
5951
7.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6555
8.43 IPS |
|
|
Style Transfer (Q)
|
96% |
2086
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (HP)
|
100% |
409
545.6 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.1 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
98% |
298
5.14 IPS |
