iPhone 11 Pro
Geekbench AI Score
1598
Single Precision Score
2685
Half Precision Score
2211
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 03:28 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 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (Q)
|
99% |
1136
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3611
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
5849
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1294
103.0 IPS |
|
|
Object Detection (Q)
|
94% |
855
68.1 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (Q)
|
100% |
1604
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2804
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4873
37.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
2440
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6972
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
13673
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13690
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2103
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2396
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2352
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2364
40.8 IPS |
