iPhone 14 Pro
Geekbench AI Score
2407
Single Precision Score
12935
Half Precision Score
14692
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
5873
1.09 KIPS |
|
|
Image Classification (Q)
|
97% |
6218
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5179
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9589
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6475
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
78513
91.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
78080
91.5 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
7635
605.6 IPS |
|
|
Object Detection (Q)
|
93% |
8426
672.3 IPS |
|
|
Face Detection (SP)
|
100% |
2199
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
10996
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
13176
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4222
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44845
345.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49857
389.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11441
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
124832
160.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117791
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3343
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16554
611.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21344
788.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2993
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3088
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
