iPhone 11
Geekbench AI Score
1680
Single Precision Score
3086
Half Precision Score
2558
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 22 2025 08:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1359
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3622
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5811
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.4 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3037
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5524
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4111
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7556
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
14578
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12463
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2195
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3171
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3170
54.8 IPS |
