iPhone 14
Geekbench AI Score
1929
Single Precision Score
10557
Half Precision Score
11281
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | August 15 2024 05:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
4739
881.2 IPS |
|
|
Image Classification (Q)
|
99% |
4664
870.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4060
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
69638
81.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
75113
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
99% |
5285
420.4 IPS |
|
|
Object Detection (Q)
|
93% |
6420
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
1688
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
10231
121.6 IPS |
|
|
Face Detection (Q)
|
100% |
12521
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3290
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36951
284.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
37353
288.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9822
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
99347
127.7 IPS |
|
|
Style Transfer (Q)
|
100% |
102223
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13172
486.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15511
574.6 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2382
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2070
35.8 IPS |
