iPhone 12
Geekbench AI Score
1649
Single Precision Score
9880
Half Precision Score
8105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
3896
724.5 IPS |
|
|
Image Classification (Q)
|
96% |
3968
741.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
443
7.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
57142
66.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59360
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
99% |
5231
416.1 IPS |
|
|
Object Detection (Q)
|
93% |
4719
376.5 IPS |
|
|
Face Detection (SP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
10968
130.3 IPS |
|
|
Face Detection (Q)
|
100% |
10414
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3061
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33764
260.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
38464
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8943
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93192
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
95707
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13744
507.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15979
590.0 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2098
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1934
33.4 IPS |
