iPhone 14
Geekbench AI Score
3172
Single Precision Score
19738
Half Precision Score
21940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 13 2024 06:03 PM |
| Views | 7 |
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% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
8896
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
9877
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12436
201.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14716
238.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
84445
98.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
92623
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
10794
858.6 IPS |
|
|
Object Detection (Q)
|
91% |
11182
893.5 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
27098
322.0 IPS |
|
|
Face Detection (Q)
|
100% |
31755
377.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52275
402.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
78063
610.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16529
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150678
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
148833
192.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28810
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28184
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
