iPhone 14 Pro
Geekbench AI Score
3594
Single Precision Score
22607
Half Precision Score
25431
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 10 2024 06:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
11045
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
13706
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13962
226.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16812
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7168
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
98991
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102605
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12854
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14808
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
30547
363.0 IPS |
|
|
Face Detection (Q)
|
100% |
38768
460.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6285
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76115
586.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97519
762.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19080
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
177444
228.1 IPS |
|
|
Style Transfer (Q)
|
96% |
169474
218.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4294
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33202
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37464
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5812
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6101
105.4 IPS |
