iPhone 14 Plus
Geekbench AI Score
3270
Single Precision Score
16876
Half Precision Score
18789
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:36 AM |
| Views | 1 |
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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
8885
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
10460
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7153
116.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8056
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6199
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
86960
101.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94059
110.2 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
11042
878.4 IPS |
|
|
Object Detection (Q)
|
91% |
11455
915.3 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
25664
304.9 IPS |
|
|
Face Detection (Q)
|
100% |
34042
404.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54106
416.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
72531
566.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17062
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155582
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
157029
202.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27695
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29037
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2204
38.1 IPS |
