iPhone 12 Pro
Geekbench AI Score
2704
Single Precision Score
4531
Half Precision Score
3763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | August 19 2025 09:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10581
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9337
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (HP)
|
97% |
2181
173.6 IPS |
|
|
Object Detection (Q)
|
94% |
1583
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2655
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4725
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9252
71.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6522
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13150
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18557
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2960
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3635
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3379
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3739
64.6 IPS |
