iPhone 14 Plus
Geekbench AI Score
3195
Single Precision Score
19676
Half Precision Score
21966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | June 13 2025 12:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
7592
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
10839
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12946
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14877
241.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
79993
93.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
87729
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
11213
892.0 IPS |
|
|
Object Detection (Q)
|
91% |
11589
926.0 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
28548
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
33070
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4967
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53127
409.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
68669
536.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16647
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
151277
194.5 IPS |
|
|
Style Transfer (Q)
|
96% |
140630
181.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29123
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27972
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
