iPhone 12 Pro
Geekbench AI Score
2592
Single Precision Score
4475
Half Precision Score
3735
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | real8star |
| Upload Date | May 30 2025 09:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1162
216.0 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2115
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4942
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9016
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
97% |
2126
169.3 IPS |
|
|
Object Detection (Q)
|
94% |
1544
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
2399
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2527
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4516
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8275
64.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6028
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12629
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21336
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18398
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2699
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3074
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3740
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4056
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4075
70.4 IPS |
