iPhone 12
Geekbench AI Score
1375
Single Precision Score
8262
Half Precision Score
8415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 10 2025 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
2700
502.1 IPS |
|
|
Image Classification (Q)
|
96% |
2866
535.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4708
76.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4990
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
34020
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
33263
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (HP)
|
99% |
3497
278.2 IPS |
|
|
Object Detection (Q)
|
91% |
3133
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
7246
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2254
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23609
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25896
202.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7100
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
60605
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
61448
79.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11607
428.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12412
458.3 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3945
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4206
72.7 IPS |
