iPhone 12 Pro
Geekbench AI Score
1927
Single Precision Score
2224
Half Precision Score
2104
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
395
73.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.1 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1628
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9208
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
8201
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
92% |
651
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
3090
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5608
43.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5043
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12519
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13679
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13246
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1394
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
