iPhone 14 Plus
Geekbench AI Score
3321
Single Precision Score
5686
Half Precision Score
4600
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6572
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14200
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12040
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5782
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11187
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17607
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26989
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22365
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3509
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5673
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5662
97.8 IPS |
