iPhone 12
Geekbench AI Score
1890
Single Precision Score
2188
Half Precision Score
2110
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 09:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
96% |
357
66.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1604
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
8998
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8222
9.64 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
92% |
642
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5630
43.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5178
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12825
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13724
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13203
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1464
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3766
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
98% |
497
8.58 IPS |
