iPhone 12 Pro
Geekbench AI Score
1777
Single Precision Score
2000
Half Precision Score
1842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 04:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
357
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1464
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6127
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8622
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7796
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
91% |
607
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4229
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5516
42.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4600
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12780
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13476
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12741
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1383
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
98% |
265
4.59 IPS |
