iPhone 14 Pro
Geekbench AI Score
4002
Single Precision Score
4329
Half Precision Score
3713
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 08 2024 03:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
1582
294.1 IPS |
|
|
Image Classification (Q)
|
97% |
1368
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2475
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11731
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12354
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11295
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.1 IPS |
|
|
Object Detection (HP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (Q)
|
91% |
1486
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
5469
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4099
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8519
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9104
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7039
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21205
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23896
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22253
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3773
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4673
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
776
13.4 IPS |
