iPhone 14
Geekbench AI Score
2918
Single Precision Score
5129
Half Precision Score
4150
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 13 2024 05:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2042
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
11276
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9347
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
2363
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
1768
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
2833
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4974
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10466
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7121
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16147
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25515
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20901
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3283
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4137
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5473
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5494
94.9 IPS |
