iPhone 12 Pro
Geekbench AI Score
1937
Single Precision Score
2242
Half Precision Score
2090
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 01:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (Q)
|
94% |
325
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1673
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6166
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9343
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
8290
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.0 IPS |
|
|
Object Detection (Q)
|
90% |
638
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3781
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5668
43.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5179
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12491
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13655
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13338
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1284
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
98% |
509
8.80 IPS |
