iPhone 11 Pro
Geekbench AI Score
1738
Single Precision Score
3154
Half Precision Score
2611
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6652
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5944
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
97% |
1607
127.9 IPS |
|
|
Object Detection (Q)
|
94% |
1177
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1866
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3187
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5927
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4369
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7808
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14110
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12245
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2688
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2110
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3256
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3199
55.3 IPS |
