iPhone 12
Geekbench AI Score
2708
Single Precision Score
4513
Half Precision Score
3768
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jouwee |
| Upload Date | October 29 2024 08:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2184
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10629
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9397
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2191
174.4 IPS |
|
|
Object Detection (Q)
|
94% |
1574
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2652
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4759
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9371
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6605
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13138
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21275
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18305
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3041
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3304
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3734
64.5 IPS |
