iPhone 15
Geekbench AI Score
3557
Single Precision Score
22917
Half Precision Score
26036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 10:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
10755
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
13187
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14530
235.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18343
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
97456
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101893
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
12830
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14904
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30937
367.6 IPS |
|
|
Face Detection (Q)
|
100% |
40479
481.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6238
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74863
576.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95540
747.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18622
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171610
220.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172520
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4121
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31721
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37108
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1972
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7301
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7982
137.9 IPS |
