iPhone 14
Geekbench AI Score
3146
Single Precision Score
5469
Half Precision Score
4396
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 07:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2336
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5642
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12462
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10760
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2639
210.1 IPS |
|
|
Object Detection (Q)
|
94% |
1851
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5441
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3023
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10862
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7192
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16530
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25822
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21157
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4540
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3391
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5577
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5539
95.7 IPS |
