iPhone 15
Geekbench AI Score
3462
Single Precision Score
22599
Half Precision Score
26281
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | January 23 2025 06:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
9870
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11883
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14210
230.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18724
303.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6250
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
92730
108.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101840
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12607
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14507
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
31128
369.9 IPS |
|
|
Face Detection (Q)
|
100% |
40415
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75150
579.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
97907
765.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15881
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172637
221.9 IPS |
|
|
Style Transfer (Q)
|
96% |
174376
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32581
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37364
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7425
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8339
144.1 IPS |
