iPhone 14
Geekbench AI Score
3353
Single Precision Score
19142
Half Precision Score
21795
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | November 11 2024 03:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
8256
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9884
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13280
215.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15339
248.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
89088
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95538
112.0 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
10455
831.7 IPS |
|
|
Object Detection (Q)
|
91% |
11757
939.4 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
28212
335.2 IPS |
|
|
Face Detection (Q)
|
100% |
35418
420.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54555
420.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
79199
618.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18168
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153240
197.0 IPS |
|
|
Style Transfer (Q)
|
96% |
151884
196.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26589
981.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28759
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2328
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4981
86.1 IPS |
