iPhone 15 Plus
Geekbench AI Score
3379
Single Precision Score
6072
Half Precision Score
4906
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 01:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
13937
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2842
226.3 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5915
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3327
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11314
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28363
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23004
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3820
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4960
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6557
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6553
113.2 IPS |
