iPhone 14 Plus
Geekbench AI Score
3267
Single Precision Score
5627
Half Precision Score
4554
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6306
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
13813
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11607
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2706
215.4 IPS |
|
|
Object Detection (Q)
|
94% |
1915
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5382
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11007
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7545
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17318
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26531
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21932
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3448
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5639
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5679
98.1 IPS |
