iPhone 14 Pro
Geekbench AI Score
2353
Single Precision Score
12935
Half Precision Score
13849
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
5726
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
6380
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5086
82.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5157
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6267
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
81143
94.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
85584
100.4 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
7668
608.3 IPS |
|
|
Object Detection (Q)
|
93% |
8454
674.6 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11091
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
13118
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4075
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43581
335.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
46932
362.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11052
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121521
156.2 IPS |
|
|
Style Transfer (Q)
|
100% |
121662
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3188
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16905
624.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20861
772.9 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3007
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2322
40.1 IPS |
