iPhone 14 Plus
Geekbench AI Score
3252
Single Precision Score
20566
Half Precision Score
23380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 01:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
9257
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
11540
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13344
216.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14762
239.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
89774
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94442
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
11317
900.3 IPS |
|
|
Object Detection (Q)
|
91% |
12022
960.6 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28559
339.3 IPS |
|
|
Face Detection (Q)
|
100% |
35458
421.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5214
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55452
427.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74687
583.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16878
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
157301
202.2 IPS |
|
|
Style Transfer (Q)
|
96% |
163378
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27364
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31752
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6594
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7442
128.6 IPS |
