iPhone 14
Geekbench AI Score
3291
Single Precision Score
16854
Half Precision Score
18286
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GreyNade |
| Upload Date | September 28 2024 03:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
8083
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
8685
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6956
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7820
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
87157
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93527
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
10893
866.5 IPS |
|
|
Object Detection (Q)
|
91% |
11394
910.4 IPS |
|
|
Face Detection (SP)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
28456
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
31249
371.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52805
406.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
79762
623.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17476
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162343
208.7 IPS |
|
|
Style Transfer (Q)
|
96% |
155496
200.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26795
989.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28869
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2357
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2191
37.9 IPS |
