iPhone 12
Geekbench AI Score
1494
Single Precision Score
1567
Half Precision Score
596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:40 PM |
| Views | 8 |
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% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
97% |
312
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1553
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (Q)
|
97% |
6009
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
92% |
632
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
2462
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5047
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5485
42.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11614
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13546
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12712
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1375
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.7 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (Q)
|
93% |
164
220.7 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
98% |
439
7.58 IPS |
