iPhone 12
Geekbench AI Score
1455
Single Precision Score
1537
Half Precision Score
599
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 01:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (Q)
|
97% |
326
60.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1481
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6060
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
6005
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
92% |
623
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (Q)
|
100% |
2469
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5029
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5600
43.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11625
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13551
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12665
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1468
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
247
330.2 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.8 IPS |
|
|
Text Classification (Q)
|
93% |
165
221.6 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (Q)
|
98% |
437
7.55 IPS |
