iPhone 14
Geekbench AI Score
3098
Single Precision Score
19795
Half Precision Score
22058
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Hyperhyper2 |
| Upload Date | December 27 2025 06:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
8301
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
10496
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13421
217.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15662
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
84643
98.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
80886
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
10924
869.0 IPS |
|
|
Object Detection (Q)
|
91% |
12708
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
27457
326.2 IPS |
|
|
Face Detection (Q)
|
100% |
36247
430.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4924
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54229
417.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
65201
509.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
141957
182.5 IPS |
|
|
Style Transfer (Q)
|
96% |
138486
178.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27700
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28595
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6366
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7247
125.2 IPS |
