iPhone 14
Geekbench AI Score
3237
Single Precision Score
5723
Half Precision Score
4625
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2403
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
13960
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11580
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
2665
212.1 IPS |
|
|
Object Detection (Q)
|
94% |
1891
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2765
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5275
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10538
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7286
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16894
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22409
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4353
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4381
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6326
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6426
111.0 IPS |
