iPhone 16 Plus
Geekbench AI Score
4285
Single Precision Score
32603
Half Precision Score
42971
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 11:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
14905
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20185
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18152
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23734
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8281
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
148321
173.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292906
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
16194
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22926
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40100
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
57213
679.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95417
735.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159742
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17746
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244404
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303337
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49911
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83566
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2603
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10233
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11066
191.2 IPS |
