iPhone 11
Geekbench AI Score
926
Single Precision Score
1122
Half Precision Score
680
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 07:33 PM |
| Views | 8 |
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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
99% |
354
66.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (Q)
|
100% |
351
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1253
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3484
26.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3481
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6113
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8443
10.9 IPS |
|
|
Style Transfer (Q)
|
100% |
8333
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.6 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.2 IPS |
|
|
Text Classification (Q)
|
93% |
380
510.5 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.22 IPS |
