iPhone 14 Plus
Geekbench AI Score
3194
Single Precision Score
20244
Half Precision Score
23632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
7887
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
11002
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13080
212.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15439
250.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5961
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
91172
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
96795
113.4 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
10522
837.0 IPS |
|
|
Object Detection (Q)
|
91% |
12330
985.3 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28908
343.5 IPS |
|
|
Face Detection (Q)
|
100% |
35948
427.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53980
415.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74047
578.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16342
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165660
213.0 IPS |
|
|
Style Transfer (Q)
|
96% |
170605
220.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29749
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34821
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6207
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
