iPhone 12 Pro
Geekbench AI Score
2551
Single Precision Score
13283
Half Precision Score
13079
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 03:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1224
227.6 IPS |
|
|
Image Classification (HP)
|
100% |
4483
833.7 IPS |
|
|
Image Classification (Q)
|
96% |
4616
861.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8332
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9120
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4419
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
62029
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61034
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.7 IPS |
|
|
Object Detection (HP)
|
99% |
5870
467.0 IPS |
|
|
Object Detection (Q)
|
91% |
5021
401.2 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
14275
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
12263
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4344
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38662
297.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38448
300.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12073
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
101358
130.3 IPS |
|
|
Style Transfer (Q)
|
96% |
101051
130.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2604
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19210
709.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19206
709.2 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2277
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5450
94.2 IPS |
