iPhone 14
Geekbench AI Score
3188
Single Precision Score
5619
Half Precision Score
4532
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 29 2025 12:24 AM |
| Views | 4 |
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% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2409
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6086
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
13792
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11451
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1863
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
2727
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5490
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3066
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5041
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10296
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7185
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16521
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26620
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21580
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4255
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6327
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6150
106.3 IPS |
