iPhone 12
Geekbench AI Score
1378
Single Precision Score
8271
Half Precision Score
8345
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
2690
500.3 IPS |
|
|
Image Classification (Q)
|
96% |
2885
538.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4631
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5011
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
33826
39.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
33270
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
3513
279.4 IPS |
|
|
Object Detection (Q)
|
91% |
3150
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
7710
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
7245
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2200
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23599
181.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
25165
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7097
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
60713
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
59531
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11648
430.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12232
451.7 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1932
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4217
72.9 IPS |
