iPhone 15
Geekbench AI Score
2500
Single Precision Score
3959
Half Precision Score
1268
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
10811
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
421
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14305
231.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
513
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11256
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
5706
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1245
99.1 IPS |
|
|
Object Detection (Q)
|
94% |
502
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (Q)
|
100% |
621
7.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
3761
29.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4126
31.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1789
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12622
16.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7439
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3199
118.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1102
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
670
893.7 IPS |
|
|
Text Classification (Q)
|
93% |
883
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2152
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2160
37.3 IPS |
