iPhone 12
Geekbench AI Score
2729
Single Precision Score
12129
Half Precision Score
12301
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1269
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
4108
763.9 IPS |
|
|
Image Classification (Q)
|
96% |
4110
767.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8052
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8361
135.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
57132
66.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57931
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
5482
436.1 IPS |
|
|
Object Detection (Q)
|
91% |
4747
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
13500
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
11136
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4793
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37044
285.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
37090
289.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13594
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
97275
125.0 IPS |
|
|
Style Transfer (Q)
|
96% |
90850
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2921
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16089
594.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18061
666.9 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2269
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5459
94.3 IPS |
