iPhone 12
Geekbench AI Score
1602
Single Precision Score
10517
Half Precision Score
8695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:06 AM |
| Views | 4 |
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% |
753
140.0 IPS |
|
|
Image Classification (HP)
|
100% |
4603
856.0 IPS |
|
|
Image Classification (Q)
|
96% |
4500
840.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
441
7.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
4381
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
57536
67.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59656
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
99% |
5367
426.9 IPS |
|
|
Object Detection (Q)
|
93% |
4844
386.5 IPS |
|
|
Face Detection (SP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
10435
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2924
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36603
282.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
41807
326.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8294
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
99733
128.2 IPS |
|
|
Style Transfer (Q)
|
96% |
103772
133.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13788
509.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17877
660.1 IPS |
|
|
Text Classification (SP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2846
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1871
32.3 IPS |
