iPhone 14 Pro
Geekbench AI Score
3882
Single Precision Score
4223
Half Precision Score
3737
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 12:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (Q)
|
97% |
1431
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11699
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12340
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11441
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
1864
147.8 IPS |
|
|
Object Detection (Q)
|
91% |
1575
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5894
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8732
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7194
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21170
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21906
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3657
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2551
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4396
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4390
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
