iPhone 15
Geekbench AI Score
3683
Single Precision Score
3759
Half Precision Score
3839
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | May 21 2025 01:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.1 IPS |
|
|
Image Classification (Q)
|
96% |
1143
213.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2791
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11837
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12448
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11959
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
92% |
1260
100.6 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
5011
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8564
66.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7861
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21179
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23320
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22547
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2647
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
