iPhone 14
Geekbench AI Score
3246
Single Precision Score
5684
Half Precision Score
4593
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 05:17 PM |
| Views | 2 |
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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14075
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11610
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2697
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1910
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3114
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10432
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7243
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17021
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27572
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22488
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3619
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6207
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6212
107.4 IPS |
