iPhone 14
Geekbench AI Score
3228
Single Precision Score
5584
Half Precision Score
4487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.1 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2454
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13515
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11286
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2678
213.2 IPS |
|
|
Object Detection (Q)
|
94% |
1885
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5582
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5354
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11040
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7391
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17017
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26358
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21706
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4053
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5609
96.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5585
96.5 IPS |
