iPhone 11
Geekbench AI Score
913
Single Precision Score
1110
Half Precision Score
502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | February 28 2025 01:04 AM |
| Views | 17 |
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% |
300
55.7 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1219
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
2525
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3509
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1013
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
6192
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8328
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2155
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.2 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.4 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
98% |
239
4.12 IPS |
