iPhone 14
Geekbench AI Score
3053
Single Precision Score
4577
Half Precision Score
3947
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 04:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13904
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12029
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2147
170.9 IPS |
|
|
Object Detection (Q)
|
94% |
1636
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4101
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4959
38.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8160
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6120
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16562
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25605
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21311
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4363
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4357
75.3 IPS |
