iPhone 16 Plus
Geekbench AI Score
4489
Single Precision Score
33332
Half Precision Score
45981
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gigac1 |
| Upload Date | April 03 2025 02:09 AM |
| Views | 9 |
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% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
15593
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21589
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23881
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153772
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293599
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
16006
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22327
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
40681
483.4 IPS |
|
|
Face Detection (Q)
|
100% |
56068
666.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97335
749.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164151
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
19755
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246670
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302871
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52730
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84368
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10133
174.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11224
194.0 IPS |
