iPhone 12
Geekbench AI Score
2484
Single Precision Score
4434
Half Precision Score
3642
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 15 2025 12:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1095
203.6 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (Q)
|
96% |
1267
236.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1863
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3989
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
9189
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8214
9.63 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
97% |
2053
163.4 IPS |
|
|
Object Detection (Q)
|
94% |
1536
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
2486
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4440
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8709
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6331
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12207
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21370
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18306
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2753
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4300
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4263
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4136
71.5 IPS |
