iPhone 14 Pro
Geekbench AI Score
3252
Single Precision Score
22313
Half Precision Score
24247
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 11:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
9738
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11293
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15713
254.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18927
306.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
97163
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
100981
118.4 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
12082
958.3 IPS |
|
|
Object Detection (Q)
|
91% |
13934
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
30933
367.6 IPS |
|
|
Face Detection (Q)
|
100% |
39221
466.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5902
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71146
548.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89257
697.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18040
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
160682
206.6 IPS |
|
|
Style Transfer (Q)
|
96% |
165938
214.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33340
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36263
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1352
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7311
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8203
141.8 IPS |
