iPhone 11
Geekbench AI Score
810
Single Precision Score
914
Half Precision Score
486
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 10:45 AM |
| Views | 3 |
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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
367
68.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
100% |
357
5.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2323
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3070
3.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
1254
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
94% |
115
9.21 IPS |
|
|
Face Detection (SP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (Q)
|
100% |
197
2.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
2073
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2138
16.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
2133
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3623
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
4644
5.97 IPS |
|
|
Style Transfer (Q)
|
100% |
4406
5.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
330
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.3 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.2 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.6 IPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
98% |
245
4.23 IPS |
