iPhone 11
Geekbench AI Score
1199
Single Precision Score
3647
Half Precision Score
1460
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jlwarlow |
| Upload Date | August 16 2024 06:27 AM |
| Views | 5 |
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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
2936
545.9 IPS |
|
|
Image Classification (Q)
|
99% |
2805
523.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
100% |
498
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
29354
34.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
3287
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
413
4.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1979
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23938
184.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
23904
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5466
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
10946
14.1 IPS |
|
|
Style Transfer (Q)
|
100% |
10843
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
620
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.6 IPS |
|
|
Text Classification (Q)
|
93% |
461
619.2 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
