iPhone 14
Geekbench AI Score
3255
Single Precision Score
5689
Half Precision Score
4657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:10 PM |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14479
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11979
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2665
212.2 IPS |
|
|
Object Detection (Q)
|
94% |
1912
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5575
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10605
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7368
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17201
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24325
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22523
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6241
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6286
108.6 IPS |
