iPhone 11
Geekbench AI Score
793
Single Precision Score
859
Half Precision Score
372
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hoomansht |
| Upload Date | July 06 2025 05:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
97% |
143
26.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
1374
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1698
1.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
1143
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.1 IPS |
|
|
Object Detection (Q)
|
94% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (Q)
|
100% |
250
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2293
17.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
677
5.28 IPS |
|
|
Style Transfer (SP)
|
100% |
4695
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
4869
6.26 IPS |
|
|
Style Transfer (Q)
|
96% |
1795
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
340
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.9 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.9 IPS |
|
|
Text Classification (Q)
|
93% |
248
332.9 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.14 IPS |
