iPhone 14
Geekbench AI Score
3332
Single Precision Score
5798
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14742
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12139
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1944
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5650
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3218
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10619
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7405
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17478
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28040
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22889
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4767
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3644
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4309
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6453
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6419
110.9 IPS |
