iPhone 11
Geekbench AI Score
1543
Single Precision Score
2639
Half Precision Score
2183
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
765
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (Q)
|
96% |
867
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1076
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3386
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
4070
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
97% |
1269
101.0 IPS |
|
|
Object Detection (Q)
|
94% |
962
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1543
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2557
19.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
4733
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3447
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6261
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
12983
16.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10955
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2315
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
