iPhone 14 Pro
Geekbench AI Score
3381
Single Precision Score
23240
Half Precision Score
26378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
9088
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
11195
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16085
260.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18941
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
100705
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101815
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
12122
961.5 IPS |
|
|
Object Detection (Q)
|
91% |
14336
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
31014
368.5 IPS |
|
|
Face Detection (Q)
|
100% |
40043
475.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71250
548.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89269
697.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18209
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170320
218.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169202
218.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32329
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34772
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2988
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7156
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8386
144.9 IPS |
