iPhone 15
Geekbench AI Score
3094
Single Precision Score
3492
Half Precision Score
3050
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Peritus |
| Upload Date | December 02 2024 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
1200
223.1 IPS |
|
|
Image Classification (Q)
|
97% |
602
112.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2463
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11792
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12418
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11514
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
91% |
1155
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
3944
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8518
65.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7038
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21553
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23377
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21654
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3568
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3026
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4640
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
98% |
419
7.25 IPS |
