iPhone 12
Geekbench AI Score
2735
Single Precision Score
12121
Half Precision Score
12437
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:51 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
3930
730.9 IPS |
|
|
Image Classification (Q)
|
96% |
4456
832.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8135
131.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8239
133.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5303
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
57086
66.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59818
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
5612
446.4 IPS |
|
|
Object Detection (Q)
|
91% |
4724
377.4 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
13220
157.1 IPS |
|
|
Face Detection (Q)
|
100% |
11201
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4846
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37577
289.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
36449
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13719
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96013
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
90087
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16277
601.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18646
688.5 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5484
94.8 IPS |
