iPhone 15
Geekbench AI Score
3451
Single Precision Score
22404
Half Precision Score
25992
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 05:30 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
10423
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12650
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13740
222.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18415
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
98832
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102117
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
13010
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14973
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31671
376.3 IPS |
|
|
Face Detection (Q)
|
100% |
39788
472.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75083
578.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96126
751.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
174830
224.7 IPS |
|
|
Style Transfer (Q)
|
96% |
177553
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32090
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36679
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
1988
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7277
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7980
137.9 IPS |
