iPhone 11
Geekbench AI Score
1653
Single Precision Score
3077
Half Precision Score
2562
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3598
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
5843
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1803
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2925
22.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5508
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4122
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7260
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14356
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12291
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3263
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3234
55.9 IPS |
