iPhone 12 Pro
Geekbench AI Score
2671
Single Precision Score
4562
Half Precision Score
3803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 05:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.5 IPS |
|
|
Image Classification (Q)
|
96% |
1378
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2143
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5136
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9227
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
97% |
2169
172.7 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
2632
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4631
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8782
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6375
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12871
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21525
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18733
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3151
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4065
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4123
71.3 IPS |
