iPhone 14 Plus
Geekbench AI Score
3586
Single Precision Score
3863
Half Precision Score
3606
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 01:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2729
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12697
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12371
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
92% |
1284
102.5 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
4800
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8172
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8203
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8274
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18782
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23478
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22871
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3863
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
