iPhone 14 Pro
Geekbench AI Score
3251
Single Precision Score
4900
Half Precision Score
4084
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
99% |
1913
356.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1229
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14794
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12621
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2291
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2900
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5567
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8729
67.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4401
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17787
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26750
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26495
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3721
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4333
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4468
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4586
79.2 IPS |
