iPhone 15
Geekbench AI Score
3408
Single Precision Score
5926
Half Precision Score
4780
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | guylafaras |
| Upload Date | September 30 2024 03:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6254
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
13639
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11607
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3338
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11898
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7984
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17370
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26814
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22491
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4931
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4644
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5671
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5678
98.1 IPS |
