iPhone 16
Geekbench AI Score
4295
Single Precision Score
32936
Half Precision Score
46449
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
14963
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20561
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18153
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23754
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8040
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
144451
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292911
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
16415
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22657
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
40604
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
56137
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7845
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95487
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160616
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17449
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244811
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304005
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50440
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84759
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10566
182.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11658
201.5 IPS |
