iPhone 14 Plus
Geekbench AI Score
3069
Single Precision Score
3268
Half Precision Score
3124
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
842
156.6 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
97% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2453
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11331
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11151
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.1 IPS |
|
|
Object Detection (Q)
|
91% |
1233
98.6 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
5835
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8535
65.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6994
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22747
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21075
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3530
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3126
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
98% |
578
9.99 IPS |
