iPhone 12 Pro
Geekbench AI Score
1768
Single Precision Score
9218
Half Precision Score
5039
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | November 16 2024 10:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (HP)
|
100% |
4832
898.6 IPS |
|
|
Image Classification (Q)
|
94% |
4215
787.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4529
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
56955
66.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
57806
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
99% |
5520
439.1 IPS |
|
|
Object Detection (Q)
|
93% |
5669
452.3 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
11060
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
509
6.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
3093
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32141
247.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35735
279.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8743
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86049
110.6 IPS |
|
|
Style Transfer (Q)
|
25% |
3542
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11528
425.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11405
421.1 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2297
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1820
31.5 IPS |
