iPhone 12 Pro
Geekbench AI Score
2733
Single Precision Score
12798
Half Precision Score
12989
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:19 PM |
| Views | 2 |
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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
4471
831.4 IPS |
|
|
Image Classification (Q)
|
96% |
4705
878.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8352
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8686
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
60608
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62198
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
5355
425.9 IPS |
|
|
Object Detection (Q)
|
91% |
4987
398.5 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
14275
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
11401
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4789
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36380
280.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39984
312.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13483
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
100388
129.1 IPS |
|
|
Style Transfer (Q)
|
96% |
99485
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17415
643.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18012
665.1 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4702
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5560
96.1 IPS |
