iPhone 12
Geekbench AI Score
2753
Single Precision Score
4695
Half Precision Score
3878
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | callearvid |
| Upload Date | August 18 2025 08:57 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
96% |
1375
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2161
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5682
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9965
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.4 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.7 IPS |
|
|
Face Detection (SP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2695
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9069
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6452
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13502
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23015
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19603
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3145
116.1 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4137
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
