iPhone 12 Pro
Geekbench AI Score
1927
Single Precision Score
2220
Half Precision Score
2075
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
96% |
331
61.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1579
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
8740
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
7791
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
92% |
640
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3478
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5620
43.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5258
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12867
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13707
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13201
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1267
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
98% |
523
9.03 IPS |
