iPhone 11
Geekbench AI Score
1648
Single Precision Score
3028
Half Precision Score
2549
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | August 22 2025 09:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6415
7.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
5597
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1791
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2871
22.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5521
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4128
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7113
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
14109
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12162
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2520
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2067
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3005
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3287
56.8 IPS |
