iPhone 11 Pro
Geekbench AI Score
1727
Single Precision Score
3167
Half Precision Score
2608
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1479
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3629
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
5859
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1608
128.0 IPS |
|
|
Object Detection (Q)
|
94% |
1176
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1871
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5958
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4338
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
14250
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12232
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3290
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3217
55.6 IPS |
