iPhone 14 Pro
Geekbench AI Score
3544
Single Precision Score
6078
Half Precision Score
4940
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 09:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
2565
477.1 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6985
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15119
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12983
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6065
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6085
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12102
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8210
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28354
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23680
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3729
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4707
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4628
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5929
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5896
101.9 IPS |
