iPhone 12
Geekbench AI Score
1432
Single Precision Score
1522
Half Precision Score
601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sharg |
| Upload Date | November 05 2025 10:04 AM |
| Views | 6 |
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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1566
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6438
7.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
6019
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
92% |
607
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
2499
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5158
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5412
41.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11626
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13470
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12717
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1415
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
246
329.0 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.5 IPS |
|
|
Text Classification (Q)
|
93% |
165
221.2 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
98% |
441
7.62 IPS |
