iPhone 12 Pro
Geekbench AI Score
2546
Single Precision Score
4434
Half Precision Score
3658
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 03:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2126
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
9586
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8601
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
97% |
2131
169.7 IPS |
|
|
Object Detection (Q)
|
94% |
1513
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2488
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4342
33.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8397
64.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5967
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11643
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20476
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17349
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2998
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3628
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4035
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4056
70.1 IPS |
