iPhone 12
Geekbench AI Score
1358
Single Precision Score
7844
Half Precision Score
7807
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
550
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
2690
500.3 IPS |
|
|
Image Classification (Q)
|
96% |
2793
521.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4723
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
33646
39.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
32908
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
99% |
3325
264.5 IPS |
|
|
Object Detection (Q)
|
91% |
2963
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
6305
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
6072
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2214
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22588
174.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22142
173.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6960
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
60803
78.2 IPS |
|
|
Style Transfer (Q)
|
96% |
58507
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12049
444.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12373
456.9 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3457
59.7 IPS |
