iPhone 12
Geekbench AI Score
1903
Single Precision Score
2179
Half Precision Score
2071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
96% |
330
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1645
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
7664
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
92% |
631
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3403
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5511
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5059
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12658
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13600
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13129
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1371
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
98% |
504
8.70 IPS |
