iPhone 14
Geekbench AI Score
3317
Single Precision Score
19480
Half Precision Score
22083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
8121
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
9558
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12626
204.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14450
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
88584
103.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93243
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
10540
838.4 IPS |
|
|
Object Detection (Q)
|
91% |
12028
961.1 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
26412
313.8 IPS |
|
|
Face Detection (Q)
|
100% |
31993
380.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51662
398.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71586
559.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17851
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152750
196.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152638
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29935
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28918
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2508
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
