iPhone 11
Geekbench AI Score
1166
Single Precision Score
3535
Half Precision Score
723
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2744
510.2 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
28107
32.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3414
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
288
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1945
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22665
174.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1041
8.13 IPS |
|
|
Style Transfer (SP)
|
100% |
5226
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
11005
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4558
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
623
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.7 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.8 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.6 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
967
16.7 IPS |
