iPhone 12
Geekbench AI Score
2641
Single Precision Score
4714
Half Precision Score
3930
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 04:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2180
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4942
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
10720
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9532
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (HP)
|
97% |
2229
177.4 IPS |
|
|
Object Detection (Q)
|
94% |
1623
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2669
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4529
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9229
71.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6550
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12874
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21643
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19034
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4248
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4277
73.9 IPS |
