iPhone 14
Geekbench AI Score
3342
Single Precision Score
5764
Half Precision Score
4647
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:00 PM |
| Views | 4 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2517
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14267
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12053
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2761
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
1947
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5834
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3271
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11314
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7698
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17882
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27151
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22539
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4210
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5864
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5823
100.6 IPS |
