iPhone 14 Plus
Geekbench AI Score
3005
Single Precision Score
3387
Half Precision Score
3115
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
637
118.5 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.4 IPS |
|
|
Image Classification (Q)
|
97% |
680
126.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2478
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11255
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12298
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11282
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (Q)
|
91% |
1209
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
4208
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8741
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8904
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6888
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22875
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21653
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
98% |
482
8.33 IPS |
