iPhone 11
Geekbench AI Score
1212
Single Precision Score
3577
Half Precision Score
746
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | L1_Wall |
| Upload Date | September 20 2024 05:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
2712
504.4 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
317
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
3428
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
29044
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3544
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
401
4.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
2014
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23277
179.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1085
8.47 IPS |
|
|
Style Transfer (SP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
10792
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4676
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
627
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
456
609.0 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.0 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.9 IPS |
