iPhone 12
Geekbench AI Score
1655
Single Precision Score
10260
Half Precision Score
8770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sharg |
| Upload Date | November 05 2025 09:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
764
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
4220
784.8 IPS |
|
|
Image Classification (Q)
|
96% |
4481
836.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
466
7.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
4701
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
58156
67.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59698
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
99% |
5206
414.1 IPS |
|
|
Object Detection (Q)
|
93% |
4960
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
11600
137.8 IPS |
|
|
Face Detection (Q)
|
100% |
10378
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3046
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34865
268.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42284
330.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8873
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95631
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
95928
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13809
509.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16413
606.1 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3180
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1982
34.3 IPS |
