iPhone 14 Plus
Geekbench AI Score
2950
Single Precision Score
4444
Half Precision Score
3632
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 05:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
1778
330.7 IPS |
|
|
Image Classification (Q)
|
99% |
1770
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1132
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13376
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11328
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2091
166.5 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2258
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
2468
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4756
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7816
60.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3602
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15927
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24962
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
25035
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3474
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3444
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
93% |
3424
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4290
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4254
73.5 IPS |
