iPhone 12 Pro
Geekbench AI Score
2625
Single Precision Score
4713
Half Precision Score
3914
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4850
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
10617
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9325
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
97% |
2244
178.6 IPS |
|
|
Object Detection (Q)
|
94% |
1657
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2664
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8970
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6582
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12586
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21075
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18198
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2616
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3194
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4262
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4223
73.0 IPS |
