iPhone 12 Pro
Geekbench AI Score
1781
Single Precision Score
1999
Half Precision Score
1665
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
99% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1523
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
7634
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
91% |
629
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
2624
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4286
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5337
41.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
998
7.72 IPS |
|
|
Style Transfer (SP)
|
100% |
12594
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13503
17.4 IPS |
|
|
Style Transfer (Q)
|
100% |
13616
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1422
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.46 IPS |
