iPhone 14
Geekbench AI Score
3126
Single Precision Score
13917
Half Precision Score
18592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
7751
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
10659
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13624
220.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15495
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
47618
55.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60393
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
99% |
6928
551.1 IPS |
|
|
Object Detection (Q)
|
91% |
9142
730.5 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
14551
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
22233
264.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4865
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38093
293.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
58246
455.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13680
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
106840
137.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112154
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16185
597.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23540
869.2 IPS |
|
|
Text Classification (SP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2538
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6239
107.8 IPS |
