iPhone 14
Geekbench AI Score
3315
Single Precision Score
5710
Half Precision Score
4586
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GreyNade |
| Upload Date | September 28 2024 02:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13591
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11504
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1918
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11028
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7599
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17584
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27341
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22324
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3952
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3529
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5761
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5762
99.6 IPS |
