iPhone 14
Geekbench AI Score
3162
Single Precision Score
20538
Half Precision Score
23093
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 29 2025 12:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
9297
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10429
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12870
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14749
239.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5669
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
89888
104.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
95566
112.0 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
10345
822.9 IPS |
|
|
Object Detection (Q)
|
91% |
12043
962.3 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28529
339.0 IPS |
|
|
Face Detection (Q)
|
100% |
35366
420.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55508
427.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72060
563.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15873
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
168521
216.6 IPS |
|
|
Style Transfer (Q)
|
96% |
165402
213.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27582
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30793
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2575
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6400
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7291
126.0 IPS |
