iPhone 11
Geekbench AI Score
921
Single Precision Score
1119
Half Precision Score
500
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2369
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1210
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
699
55.4 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3514
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1008
7.87 IPS |
|
|
Style Transfer (SP)
|
100% |
6097
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
8325
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2118
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.7 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.5 IPS |
|
|
Text Classification (Q)
|
93% |
367
492.7 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
98% |
241
4.17 IPS |
