iPhone 14 Pro
Geekbench AI Score
3567
Single Precision Score
23238
Half Precision Score
26482
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | werfree |
| Upload Date | February 17 2025 08:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
10527
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12282
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13802
223.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17985
291.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6971
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
97275
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101782
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
13096
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14844
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
31263
371.5 IPS |
|
|
Face Detection (Q)
|
100% |
39832
473.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6191
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75294
580.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
97170
759.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19032
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168338
216.4 IPS |
|
|
Style Transfer (Q)
|
96% |
169914
219.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4269
157.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31998
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37610
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7568
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8232
142.3 IPS |
