iPhone 11
Geekbench AI Score
918
Single Precision Score
1107
Half Precision Score
677
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jlwarlow |
| Upload Date | August 16 2024 06:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
100% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1215
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2521
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3498
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6095
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
7803
10.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8581
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
452
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.9 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.9 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.6 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (Q)
|
98% |
212
3.67 IPS |
