iPhone 11
Geekbench AI Score
924
Single Precision Score
1114
Half Precision Score
500
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 12:29 PM |
| Views | 2 |
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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3143
3.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
1194
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
2487
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3513
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
998
7.79 IPS |
|
|
Style Transfer (SP)
|
100% |
6136
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8355
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2096
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.1 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.4 IPS |
|
|
Text Classification (Q)
|
93% |
372
498.7 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.20 IPS |
