iPhone 14 Pro
Geekbench AI Score
3074
Single Precision Score
3326
Half Precision Score
3056
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.2 IPS |
|
|
Image Classification (Q)
|
99% |
1576
293.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11575
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12274
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11025
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
92% |
1481
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3927
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8815
67.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
8973
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20885
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23298
30.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23511
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3785
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.7 IPS |
|
|
Text Classification (Q)
|
93% |
246
329.5 IPS |
|
|
Machine Translation (SP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1438
24.9 IPS |
