iPhone 14 Pro
Geekbench AI Score
3163
Single Precision Score
3262
Half Precision Score
3086
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (Q)
|
99% |
1583
295.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2475
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11402
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11887
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10991
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (Q)
|
92% |
1445
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9037
69.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
9025
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20587
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22615
29.1 IPS |
|
|
Style Transfer (Q)
|
100% |
23115
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4486
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3745
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.9 IPS |
|
|
Text Classification (HP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (Q)
|
93% |
292
391.8 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1464
25.3 IPS |
