iPhone 16 Plus
Geekbench AI Score
4419
Single Precision Score
32740
Half Precision Score
43181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sean233 |
| Upload Date | March 28 2025 11:50 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15240
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20745
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8640
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152381
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292979
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
16188
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22585
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39964
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
56756
674.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8087
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95441
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160765
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245480
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305548
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50877
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84709
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2619
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9988
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11011
190.3 IPS |
