iPhone 12
Geekbench AI Score
1978
Single Precision Score
2222
Half Precision Score
2093
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
96% |
333
62.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1716
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9216
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
8271
9.70 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
92% |
617
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3949
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5589
43.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5193
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12848
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13683
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13331
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1461
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3615
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
