iPhone 14
Geekbench AI Score
3172
Single Precision Score
5776
Half Precision Score
4721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:59 PM |
| Views | 1 |
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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14207
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2740
218.1 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3259
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10640
82.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7464
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16970
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27256
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22470
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4843
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3680
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6628
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6648
114.9 IPS |
