iPhone 14 Pro
Geekbench AI Score
3581
Single Precision Score
6060
Half Precision Score
4936
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:42 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7041
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15138
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13000
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6358
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12182
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8247
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18943
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28145
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23746
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3673
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4657
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5832
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5858
101.2 IPS |
