iPhone 12 Pro
Geekbench AI Score
2795
Single Precision Score
13305
Half Precision Score
13456
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 04 2026 12:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
5026
934.7 IPS |
|
|
Image Classification (Q)
|
97% |
5306
990.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8740
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4808
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
61076
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60882
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (HP)
|
99% |
6162
490.2 IPS |
|
|
Object Detection (Q)
|
89% |
5774
462.2 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13076
155.4 IPS |
|
|
Face Detection (Q)
|
100% |
11774
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38885
299.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40663
318.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12926
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
109246
140.4 IPS |
|
|
Style Transfer (Q)
|
96% |
102912
132.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20986
774.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22316
824.0 IPS |
|
|
Text Classification (SP)
|
99% |
4179
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2509
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4329
74.8 IPS |
