iPhone 14 Plus
Geekbench AI Score
1922
Single Precision Score
10733
Half Precision Score
11531
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ywz |
| Upload Date | August 16 2024 02:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
927
172.4 IPS |
|
|
Image Classification (HP)
|
100% |
4440
825.7 IPS |
|
|
Image Classification (Q)
|
99% |
5362
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3887
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5526
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
72600
84.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
74901
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
99% |
5935
472.1 IPS |
|
|
Object Detection (Q)
|
93% |
6166
492.0 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
12547
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3245
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36828
283.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
38445
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9687
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96613
124.2 IPS |
|
|
Style Transfer (Q)
|
100% |
108792
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2892
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13560
500.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15334
568.1 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2504
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2123
36.7 IPS |
