iPhone 11
Geekbench AI Score
909
Single Precision Score
1110
Half Precision Score
501
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Haylss |
| Upload Date | October 10 2024 08:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
285
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1305
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
642
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3416
26.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
990
7.73 IPS |
|
|
Style Transfer (SP)
|
100% |
6096
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
8486
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
2109
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.6 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.8 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.2 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
98% |
208
3.59 IPS |
