iPhone 14
Geekbench AI Score
3077
Single Precision Score
5630
Half Precision Score
4598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2376
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
13380
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11491
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
97% |
2626
209.1 IPS |
|
|
Object Detection (Q)
|
94% |
1810
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5046
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10446
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7290
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16414
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26642
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22040
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3567
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4314
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6483
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6734
116.4 IPS |
