iPhone 11
Geekbench AI Score
1164
Single Precision Score
3595
Half Precision Score
735
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | December 02 2024 12:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
2828
526.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
29130
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3574
4.19 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7224
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1868
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22225
171.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1040
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
5084
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
10370
13.3 IPS |
|
|
Style Transfer (Q)
|
96% |
4454
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
614
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
18.0 IPS |
