iPhone 12 Pro
Geekbench AI Score
2603
Single Precision Score
4511
Half Precision Score
3745
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 03:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.6 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2132
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4936
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8990
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
97% |
2156
171.6 IPS |
|
|
Object Detection (Q)
|
94% |
1575
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4506
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8622
66.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6307
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12411
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20560
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17793
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2528
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3929
145.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3053
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4075
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4064
70.2 IPS |
