iPhone 14 Pro
Geekbench AI Score
4091
Single Precision Score
4492
Half Precision Score
4160
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2802
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11314
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10483
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10313
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
1923
152.6 IPS |
|
|
Object Detection (Q)
|
92% |
1707
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
6362
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
5149
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8761
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9133
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7920
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21019
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23428
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22892
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4063
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.2 IPS |
