iPhone 14 Pro
Geekbench AI Score
3543
Single Precision Score
24082
Half Precision Score
27861
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 06:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
10110
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
13235
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13886
225.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18364
297.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
100534
117.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102961
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
13103
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14875
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
31603
375.5 IPS |
|
|
Face Detection (Q)
|
100% |
40632
482.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6148
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75484
581.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95987
750.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
184071
236.6 IPS |
|
|
Style Transfer (Q)
|
96% |
181753
234.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32923
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40239
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3150
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3079
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7791
134.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8621
149.0 IPS |
