iPhone 12
Geekbench AI Score
1453
Single Precision Score
1537
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:26 AM |
| Views | 2 |
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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
97% |
334
62.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6067
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6448
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
6010
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
92% |
616
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
2480
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5502
42.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11561
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13431
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12614
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1487
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.0 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (Q)
|
93% |
166
222.2 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.92 IPS |
|
|
Machine Translation (Q)
|
98% |
439
7.59 IPS |
