iPhone 12
Geekbench AI Score
2639
Single Precision Score
12338
Half Precision Score
12379
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | February 21 2026 03:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.8 IPS |
|
|
Image Classification (Q)
|
96% |
5045
942.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7909
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8312
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4862
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
60057
70.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60159
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
99% |
5451
433.6 IPS |
|
|
Object Detection (Q)
|
91% |
4736
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
12547
149.1 IPS |
|
|
Face Detection (Q)
|
100% |
10022
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4588
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36971
284.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
40623
317.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12841
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95037
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
94077
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2682
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17915
661.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17767
656.0 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2424
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4291
74.2 IPS |
