iPhone 14 Plus
Geekbench AI Score
3082
Single Precision Score
3577
Half Precision Score
3280
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (Q)
|
97% |
882
164.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2464
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12472
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11292
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (Q)
|
91% |
1235
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
4844
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
6108
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
4074
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8143
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8523
65.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7048
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19038
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22904
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21291
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3041
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
98% |
631
10.9 IPS |
