iPhone 11
Geekbench AI Score
1655
Single Precision Score
3062
Half Precision Score
2556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 10:02 AM |
| Views | 3 |
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% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1365
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3494
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
5763
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1580
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1799
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5505
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4117
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7214
9.27 IPS |
|
|
Style Transfer (HP)
|
100% |
14218
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12290
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2054
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3259
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3231
55.8 IPS |
