iPhone 12
Geekbench AI Score
2702
Single Precision Score
4518
Half Precision Score
3780
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5307
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
10724
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9463
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2190
174.4 IPS |
|
|
Object Detection (Q)
|
94% |
1586
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2718
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9426
72.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6637
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13050
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21323
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18488
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3430
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3295
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3766
65.1 IPS |
