iPhone 14 Pro
Geekbench AI Score
3529
Single Precision Score
19751
Half Precision Score
22601
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
10189
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12970
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11589
187.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13006
210.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
96497
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102221
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12993
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14769
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
30866
366.8 IPS |
|
|
Face Detection (Q)
|
100% |
38935
462.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6242
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75318
580.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
94880
741.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18662
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
169176
217.5 IPS |
|
|
Style Transfer (Q)
|
96% |
177872
229.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4183
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33571
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37958
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
2314
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2367
40.9 IPS |
