iPhone 15
Geekbench AI Score
3316
Single Precision Score
5935
Half Precision Score
4813
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:41 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.2 IPS |
|
|
Image Classification (Q)
|
96% |
1801
336.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2647
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
13630
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11403
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2783
221.6 IPS |
|
|
Object Detection (Q)
|
94% |
2008
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3216
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5444
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11113
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7614
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15761
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26628
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21813
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4995
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4605
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4628
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6650
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6699
115.8 IPS |
