iPhone 14 Plus
Geekbench AI Score
3308
Single Precision Score
16587
Half Precision Score
18485
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 06 2024 12:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
7841
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9612
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7342
119.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8025
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
85510
99.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94943
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
10086
802.3 IPS |
|
|
Object Detection (Q)
|
91% |
11586
925.8 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
28318
336.5 IPS |
|
|
Face Detection (Q)
|
100% |
35550
422.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5535
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52029
400.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
70894
554.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17787
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
158233
203.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152196
196.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28468
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28631
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2233
38.6 IPS |
