iPhone 14 Plus
Geekbench AI Score
3291
Single Precision Score
18713
Half Precision Score
21045
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 27 2024 02:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
8273
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9906
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11841
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13542
219.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6207
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
86177
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93414
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
10203
811.6 IPS |
|
|
Object Detection (Q)
|
91% |
11913
951.9 IPS |
|
|
Face Detection (SP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
26279
312.3 IPS |
|
|
Face Detection (Q)
|
100% |
32315
384.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51325
395.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
71851
561.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17392
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153985
197.9 IPS |
|
|
Style Transfer (Q)
|
96% |
154665
199.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26870
992.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27695
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4951
85.6 IPS |
