iPhone 14
Geekbench AI Score
3050
Single Precision Score
3284
Half Precision Score
3077
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 13 2024 06:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
743
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
1027
191.0 IPS |
|
|
Image Classification (Q)
|
97% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2417
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11314
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12270
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11380
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (Q)
|
91% |
1132
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
4000
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8584
66.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7196
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18750
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17835
22.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17751
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2990
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
98% |
400
6.91 IPS |
