iPhone 14
Geekbench AI Score
3049
Single Precision Score
5624
Half Precision Score
4544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 04:20 AM |
| Views | 3 |
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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.4 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2388
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5506
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13304
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11068
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
1901
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5500
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3021
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4905
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10515
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7145
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15868
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25852
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21128
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3473
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6478
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6526
112.8 IPS |
