iPhone 11
Geekbench AI Score
1154
Single Precision Score
3515
Half Precision Score
707
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 07 2025 12:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
2736
508.8 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
29467
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3546
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7157
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21461
165.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
889
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
4301
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
9511
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3885
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4238
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
560
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.9 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
