iPhone 12 Pro
Geekbench AI Score
1966
Single Precision Score
2218
Half Precision Score
2084
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
96% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1623
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
8982
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8156
9.56 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
100% |
637
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
642
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3789
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5676
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5026
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12683
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13637
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13233
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1392
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
98% |
511
8.84 IPS |
