iPhone 14
Geekbench AI Score
3205
Single Precision Score
5698
Half Precision Score
4568
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2151
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5613
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13626
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11662
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2649
210.9 IPS |
|
|
Object Detection (Q)
|
94% |
1883
150.1 IPS |
|
|
Face Detection (SP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5461
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3061
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10336
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7383
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16812
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27725
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22659
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4382
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4347
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6289
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
