iPhone 11
Geekbench AI Score
861
Single Precision Score
1082
Half Precision Score
481
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2354
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1247
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
372
4.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
2512
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3449
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
996
7.78 IPS |
|
|
Style Transfer (SP)
|
100% |
6121
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
7966
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2093
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.1 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.9 IPS |
|
|
Text Classification (Q)
|
93% |
405
544.0 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.94 IPS |
