iPhone 14 Plus
Geekbench AI Score
3010
Single Precision Score
3484
Half Precision Score
3131
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 27 2024 02:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.3 IPS |
|
|
Image Classification (Q)
|
97% |
967
180.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11333
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12218
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11430
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
91% |
1196
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
4732
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
5846
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8189
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8708
67.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7189
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18998
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23313
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21236
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3554
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
98% |
364
6.29 IPS |
