iPhone 14
Geekbench AI Score
1797
Single Precision Score
3318
Half Precision Score
2371
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 07:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
2393
445.1 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4722
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
12948
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
6559
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
97% |
2255
179.5 IPS |
|
|
Object Detection (Q)
|
94% |
1820
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
1729
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2868
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7533
58.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2997
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5339
6.86 IPS |
|
|
Style Transfer (HP)
|
100% |
6754
8.68 IPS |
|
|
Style Transfer (Q)
|
96% |
5193
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1002
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
1641
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2116
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2910
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2340
40.4 IPS |
