iPhone 14 Pro
Geekbench AI Score
3510
Single Precision Score
6039
Half Precision Score
4904
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.2 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6685
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14683
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12557
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6155
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3498
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6106
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11954
92.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8212
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18385
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28088
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23661
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4619
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4559
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5902
102.0 IPS |
