iPhone 12
Geekbench AI Score
1851
Single Precision Score
2123
Half Precision Score
2036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (Q)
|
96% |
323
60.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1660
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
7451
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
92% |
613
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
3067
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5445
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5098
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12900
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13557
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13158
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1377
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3527
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
98% |
501
8.66 IPS |
