iPhone 12
Geekbench AI Score
1950
Single Precision Score
2173
Half Precision Score
2132
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 08:36 PM |
| Views | 4 |
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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
96% |
325
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1623
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8997
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8140
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
92% |
685
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3644
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5503
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5218
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12941
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13647
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13288
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1524
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
98% |
528
9.12 IPS |
