iPhone 15
Geekbench AI Score
3260
Single Precision Score
3523
Half Precision Score
3172
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 27 2025 12:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (Q)
|
97% |
991
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11842
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12406
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11565
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.8 IPS |
|
|
Object Detection (Q)
|
91% |
1118
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
4166
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8057
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8663
66.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7271
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21164
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23284
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21795
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2999
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4755
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4701
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (Q)
|
98% |
351
6.06 IPS |
