iPhone 12
Geekbench AI Score
1765
Single Precision Score
2013
Half Precision Score
1861
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
356
66.2 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
97% |
310
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1495
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8919
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7937
9.30 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
91% |
623
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
2611
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3987
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5522
42.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4721
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12775
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13516
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12751
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3562
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
98% |
264
4.56 IPS |
