iPhone 14 Plus
Geekbench AI Score
2497
Single Precision Score
2618
Half Precision Score
2427
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ywz |
| Upload Date | August 16 2024 02:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.2 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
595
111.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11138
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12137
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10913
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (Q)
|
92% |
1176
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
3773
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7747
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8812
67.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
8022
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18659
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22735
29.2 IPS |
|
|
Style Transfer (Q)
|
100% |
22582
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3511
129.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2996
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
366
488.0 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.1 IPS |
|
|
Text Classification (Q)
|
93% |
224
300.6 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
