iPhone 11
Geekbench AI Score
1632
Single Precision Score
3041
Half Precision Score
2532
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | smajor |
| Upload Date | July 22 2025 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
5622
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1566
124.6 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1786
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2842
21.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5454
42.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4059
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7007
9.01 IPS |
|
|
Style Transfer (HP)
|
100% |
13999
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12077
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2056
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2180
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3250
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3238
56.0 IPS |
