iPhone 15
Geekbench AI Score
3300
Single Precision Score
5898
Half Precision Score
4771
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 02 2025 07:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.6 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2620
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5926
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
13367
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11249
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5823
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3217
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5538
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11004
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7523
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16122
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26778
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21911
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4995
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3774
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4764
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6177
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6338
109.5 IPS |
