iPhone 14 Pro
Geekbench AI Score
3582
Single Precision Score
6163
Half Precision Score
4975
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 26 2025 03:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
2569
477.7 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7117
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15435
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13297
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2948
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12254
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8300
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19207
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28491
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24182
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5185
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4668
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4669
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5904
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5916
102.2 IPS |
