iPhone 14 Pro
Geekbench AI Score
3498
Single Precision Score
20016
Half Precision Score
22460
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | furunos |
| Upload Date | September 29 2024 01:31 PM |
| Views | 10 |
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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
10032
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
11883
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11359
184.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13648
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
95560
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101473
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
12988
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14732
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
30419
361.4 IPS |
|
|
Face Detection (Q)
|
100% |
38468
457.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6152
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75224
579.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96364
753.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18189
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
168137
216.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172737
222.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32472
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37360
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2491
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2262
39.1 IPS |
