iPhone 12
Geekbench AI Score
2590
Single Precision Score
12388
Half Precision Score
12059
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1219
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
4823
897.0 IPS |
|
|
Image Classification (Q)
|
96% |
4285
800.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7916
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8199
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4667
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
59386
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60436
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (HP)
|
99% |
5501
437.6 IPS |
|
|
Object Detection (Q)
|
91% |
4946
395.2 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
11779
140.0 IPS |
|
|
Face Detection (Q)
|
100% |
10186
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4429
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38187
294.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
36537
285.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12167
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94303
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
90687
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17087
630.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17999
664.6 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4197
72.5 IPS |
