iPhone 14 Plus
Geekbench AI Score
3004
Single Precision Score
4457
Half Precision Score
3659
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jpvt100 |
| Upload Date | August 20 2024 11:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.4 IPS |
|
|
Image Classification (Q)
|
99% |
1764
328.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1127
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13503
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11438
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2106
167.7 IPS |
|
|
Object Detection (Q)
|
94% |
1593
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
2560
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4844
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8075
62.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3673
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16216
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25182
32.4 IPS |
|
|
Style Transfer (Q)
|
100% |
25253
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3459
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3358
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4282
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4315
74.6 IPS |
