iPhone 14 Pro
Geekbench AI Score
3933
Single Precision Score
4276
Half Precision Score
3803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:15 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
97% |
1568
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11742
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12303
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11542
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (Q)
|
91% |
1549
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
5315
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
4182
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8567
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8943
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7308
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21243
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23798
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22043
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4571
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
