iPhone 12
Geekbench AI Score
1381
Single Precision Score
2261
Half Precision Score
1854
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
563
104.6 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
96% |
629
117.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
5110
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
97% |
960
76.5 IPS |
|
|
Object Detection (Q)
|
94% |
705
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2203
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3965
30.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2871
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7114
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
11375
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9472
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1473
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (Q)
|
93% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2188
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2190
37.8 IPS |
