iPhone 14 Plus
Geekbench AI Score
3294
Single Precision Score
19597
Half Precision Score
22013
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 17 2025 04:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
7625
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
10017
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11984
194.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14780
239.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
81385
95.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
83602
98.0 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
11749
934.6 IPS |
|
|
Object Detection (Q)
|
91% |
11738
937.9 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
28160
334.6 IPS |
|
|
Face Detection (Q)
|
100% |
36291
431.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5407
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58053
447.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
78143
610.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
149018
191.6 IPS |
|
|
Style Transfer (Q)
|
96% |
136200
175.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27901
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28600
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6205
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
