iPhone 11 Pro
Geekbench AI Score
932
Single Precision Score
1106
Half Precision Score
507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | December 11 2024 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1287
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3500
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1021
7.97 IPS |
|
|
Style Transfer (SP)
|
100% |
6141
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8539
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2090
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.7 IPS |
|
|
Text Classification (HP)
|
100% |
401
534.7 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.3 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.71 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.95 IPS |
