iPhone 11
Geekbench AI Score
1728
Single Precision Score
3158
Half Precision Score
2606
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3661
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6559
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
5847
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
97% |
1626
129.5 IPS |
|
|
Object Detection (Q)
|
94% |
1175
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1870
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3155
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5970
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4339
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7700
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
14153
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12204
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2707
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2112
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3223
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3197
55.2 IPS |
