iPhone 14 Pro
Geekbench AI Score
3556
Single Precision Score
23425
Half Precision Score
26070
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Simoneraganelli |
| Upload Date | January 29 2025 11:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
11060
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
12849
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15207
246.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18269
296.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7140
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
98077
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102527
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
13087
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15023
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
31040
368.8 IPS |
|
|
Face Detection (Q)
|
100% |
39093
464.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75683
583.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
97240
760.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19001
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
170392
219.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172581
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32718
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36782
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2018
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7787
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8239
142.4 IPS |
