iPhone 12
Geekbench AI Score
2656
Single Precision Score
11628
Half Precision Score
11830
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 15 2025 12:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
3833
712.9 IPS |
|
|
Image Classification (Q)
|
96% |
4326
807.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7896
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8102
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4813
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
60550
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58682
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
99% |
5416
430.8 IPS |
|
|
Object Detection (Q)
|
91% |
4871
389.2 IPS |
|
|
Face Detection (SP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
12210
145.1 IPS |
|
|
Face Detection (Q)
|
100% |
10374
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4727
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38738
298.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35568
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12881
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
92826
119.3 IPS |
|
|
Style Transfer (Q)
|
96% |
89112
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16778
619.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17500
646.2 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2206
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4222
73.0 IPS |
