iPhone 12
Geekbench AI Score
2740
Single Precision Score
11334
Half Precision Score
10991
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 10:42 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
4249
790.1 IPS |
|
|
Image Classification (Q)
|
96% |
4517
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5534
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5549
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5316
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
61185
71.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59962
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
6072
483.0 IPS |
|
|
Object Detection (Q)
|
91% |
4999
399.5 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
13943
165.7 IPS |
|
|
Face Detection (Q)
|
100% |
11708
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4823
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39154
301.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
37620
294.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13556
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96375
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
96246
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16793
620.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18217
672.7 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2006
34.7 IPS |
