iPhone 14 Pro
Geekbench AI Score
3908
Single Precision Score
4262
Half Precision Score
3695
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.6 IPS |
|
|
Image Classification (Q)
|
97% |
1360
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11800
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12398
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11373
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1902
150.9 IPS |
|
|
Object Detection (Q)
|
91% |
1487
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
5853
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
4030
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8812
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6859
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21240
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23667
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21953
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4666
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
781
13.5 IPS |
