iPhone 14 Plus
Geekbench AI Score
3297
Single Precision Score
3618
Half Precision Score
3609
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (Q)
|
96% |
904
168.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2740
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12290
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11871
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
92% |
1274
101.7 IPS |
|
|
Face Detection (SP)
|
100% |
4115
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
4674
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8604
66.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8161
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19007
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22745
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22142
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3863
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3253
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
