iPhone 12 Pro
Geekbench AI Score
1374
Single Precision Score
1430
Half Precision Score
1438
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
97% |
317
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4857
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
4638
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
91% |
592
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
2525
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4237
32.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
4240
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6537
8.40 IPS |
|
|
Style Transfer (Q)
|
96% |
8401
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1445
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (Q)
|
93% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
98% |
173
2.99 IPS |
