iPhone 12 Pro
Geekbench AI Score
2154
Single Precision Score
2405
Half Precision Score
2249
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 04 2026 12:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
94% |
341
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1633
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8085
9.48 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
91% |
567
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4195
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5589
43.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5319
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12935
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13605
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13394
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1374
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
6558
8.75 KIPS |
|
|
Text Classification (Q)
|
92% |
6510
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
586
10.1 IPS |
