iPhone 12 Pro
Geekbench AI Score
2658
Single Precision Score
12207
Half Precision Score
12605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 05:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
4597
854.8 IPS |
|
|
Image Classification (Q)
|
96% |
4869
909.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8036
130.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8197
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4665
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
60261
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60924
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
99% |
5749
457.4 IPS |
|
|
Object Detection (Q)
|
91% |
5292
422.9 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
12362
146.9 IPS |
|
|
Face Detection (Q)
|
100% |
10657
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4751
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37150
286.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
36815
287.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12946
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97188
124.9 IPS |
|
|
Style Transfer (Q)
|
96% |
94653
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20058
740.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19827
732.1 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4400
76.0 IPS |
