iPhone 14
Geekbench AI Score
3334
Single Precision Score
19330
Half Precision Score
21936
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:05 PM |
| Views | 1 |
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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
7882
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9908
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11755
190.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14728
238.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6625
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
84923
99.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93439
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
10736
854.0 IPS |
|
|
Object Detection (Q)
|
91% |
11748
938.7 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
25829
306.9 IPS |
|
|
Face Detection (Q)
|
100% |
31292
371.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
54691
421.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
71751
560.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18002
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156727
201.5 IPS |
|
|
Style Transfer (Q)
|
96% |
154072
198.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3978
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26226
968.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28534
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2263
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7210
124.6 IPS |
