iPhone 12 Pro
Geekbench AI Score
2532
Single Precision Score
4296
Half Precision Score
3591
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2116
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4638
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8463
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.2 IPS |
|
|
Object Detection (HP)
|
97% |
2094
166.7 IPS |
|
|
Object Detection (Q)
|
94% |
1501
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2512
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4433
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8865
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6200
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11816
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19905
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17121
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2863
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3533
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3199
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3608
62.3 IPS |
