iPhone 14 Plus
Geekbench AI Score
2978
Single Precision Score
4491
Half Precision Score
3679
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ywz |
| Upload Date | August 16 2024 02:28 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (Q)
|
99% |
1771
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1132
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5745
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
13460
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11066
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2094
166.7 IPS |
|
|
Object Detection (Q)
|
94% |
1593
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2538
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7805
60.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3653
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15957
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24918
32.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24938
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3468
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3427
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4266
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
