iPhone 15
Geekbench AI Score
3559
Single Precision Score
22907
Half Precision Score
26791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 08:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
10453
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
11955
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15492
251.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18768
304.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
96207
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102919
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
13081
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14920
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31208
370.8 IPS |
|
|
Face Detection (Q)
|
100% |
39695
471.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74457
573.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95948
750.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
174068
223.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172012
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31280
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36492
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2802
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7452
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8257
142.7 IPS |
