iPhone 14 Pro
Geekbench AI Score
3927
Single Precision Score
4198
Half Precision Score
3746
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:33 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% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (Q)
|
97% |
1407
262.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11774
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12339
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11432
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (Q)
|
91% |
1559
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8924
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7323
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21139
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23739
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22145
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4849
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3779
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4421
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
780
13.5 IPS |
