iPhone 14 Plus
Geekbench AI Score
3121
Single Precision Score
19263
Half Precision Score
22136
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:19 AM |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
7845
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
9866
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12445
201.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14301
231.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5726
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
86964
101.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93886
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
11069
880.5 IPS |
|
|
Object Detection (Q)
|
91% |
11420
912.5 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
25700
305.4 IPS |
|
|
Face Detection (Q)
|
100% |
34496
409.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5044
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51591
397.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
74918
585.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15924
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151662
195.0 IPS |
|
|
Style Transfer (Q)
|
96% |
155724
201.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26289
970.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28319
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2300
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.2 IPS |
