iPhone 11
Geekbench AI Score
1151
Single Precision Score
3508
Half Precision Score
719
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | February 28 2025 01:10 AM |
| Views | 5 |
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% |
2708
503.6 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
28035
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3391
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6997
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1946
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23617
182.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1060
8.28 IPS |
|
|
Style Transfer (SP)
|
100% |
5222
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
10726
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4479
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
723
964.5 IPS |
|
|
Text Classification (HP)
|
100% |
423
565.1 IPS |
|
|
Text Classification (Q)
|
93% |
421
565.7 IPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
936
16.2 IPS |
