iPhone 14 Plus
Geekbench AI Score
3206
Single Precision Score
19568
Half Precision Score
22215
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
7888
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10209
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12255
198.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14316
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6252
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
91284
106.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
92027
107.9 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
9870
785.1 IPS |
|
|
Object Detection (Q)
|
91% |
11448
914.8 IPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
28822
342.5 IPS |
|
|
Face Detection (Q)
|
100% |
35580
422.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5377
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54411
419.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
70103
547.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156654
201.4 IPS |
|
|
Style Transfer (Q)
|
96% |
159968
206.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3895
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27250
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28294
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2418
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6152
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
