iPhone 12
Geekbench AI Score
1460
Single Precision Score
1510
Half Precision Score
597
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
326
60.7 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
97% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
6006
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.8 IPS |
|
|
Object Detection (Q)
|
92% |
649
51.8 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
2478
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5200
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5421
41.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11510
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13446
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12584
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1350
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1400
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.3 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (Q)
|
93% |
167
223.7 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.97 IPS |
|
|
Machine Translation (Q)
|
98% |
440
7.61 IPS |
