iPhone 14 Plus
Geekbench AI Score
3273
Single Precision Score
19553
Half Precision Score
22527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
7847
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10463
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12435
201.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14670
237.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
87673
102.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93586
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
99% |
10713
852.2 IPS |
|
|
Object Detection (Q)
|
91% |
11517
920.2 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
27018
321.0 IPS |
|
|
Face Detection (Q)
|
100% |
33706
400.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53862
415.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
77289
604.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156060
200.6 IPS |
|
|
Style Transfer (Q)
|
96% |
154980
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26286
970.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27666
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2420
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6434
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7528
130.1 IPS |
