iPhone 14
Geekbench AI Score
2962
Single Precision Score
4443
Half Precision Score
3737
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:09 AM |
| Views | 3 |
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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.8 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11000
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
97% |
2076
165.3 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2525
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4761
36.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7815
60.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5772
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15613
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24681
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20636
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3495
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3393
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4204
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4062
70.2 IPS |
