iPhone 12 Pro
Geekbench AI Score
2362
Single Precision Score
4253
Half Precision Score
3474
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
1715
319.0 IPS |
|
|
Image Classification (Q)
|
96% |
1188
221.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1839
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3891
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8023
9.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
8190
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
97% |
2173
173.0 IPS |
|
|
Object Detection (Q)
|
94% |
1384
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
2239
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3801
29.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7732
59.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5220
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11510
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18018
23.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17420
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3114
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4235
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4225
73.0 IPS |
